diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/README.md b/lib/node_modules/@stdlib/lapack/base/dorg2r/README.md
new file mode 100644
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--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/README.md
@@ -0,0 +1,254 @@
+
+
+# dorg2r
+
+> LAPACK routine to generate an M-by-N real matrix Q with orthonormal columns.
+
+
+
+## Usage
+
+```javascript
+var dorg2r = require( '@stdlib/lapack/base/dorg2r' );
+```
+
+#### dorg2r( order, M, N, K, A, LDA, tau, work )
+
+Generates an M-by-N real matrix Q with orthonormal columns. The matrix Q is defined as the first N columns of a product of K elementary reflectors of order M. `Q = H(1) H(2) . . . H(K)` as returned by `dgeqrf`.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var tau = new Float64Array( [ 0.0, 0.0 ] );
+var work = new Float64Array( 10 );
+
+dorg2r( 'column-major', 3, 2, 2, A, 3, tau, work );
+// A => [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+```
+
+The function has the following parameters:
+
+- **order**: storage layout.
+- **M**: number of rows in matrix `A`.
+- **N**: number of columns in matrix `A`.
+- **K**: number of elementary reflectors whose product defines the matrix Q.
+- **A**: input matrix (overwritten by Householder vectors from `dgeqrf`) stored in linear memory as a [`Float64Array`][mdn-float64array].
+- **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
+- **tau**: vector of K scalar factors of the elementary reflectors as a [`Float64Array`][mdn-float64array].
+- **work**: workspace array as a [`Float64Array`][mdn-float64array].
+
+The function returns the input matrix `A` overwritten with the orthogonal matrix Q.
+
+#### dorg2r.ndarray( M, N, K, A, sa1, sa2, oa, tau, st, ot, work, sw, ow )
+
+Generates an M-by-N real matrix Q with orthonormal columns using alternative indexing semantics. The matrix Q is defined as the first N columns of a product of K elementary reflectors of order M. `Q = H(1) H(2) . . . H(K)` as returned by `dgeqrf`.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var tau = new Float64Array( [ 0.0, 0.0 ] );
+var work = new Float64Array( 10 );
+
+dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 );
+// A => [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+```
+
+The function has the following additional parameters:
+
+- **M**: number of rows in matrix `A`.
+- **N**: number of columns in matrix `A`.
+- **K**: number of elementary reflectors whose product defines the matrix Q.
+- **A**: input matrix (overwritten by Householder vectors from `dgeqrf`) stored in linear memory as a [`Float64Array`][mdn-float64array].
+- **sa1**: stride of the first dimension of `A`.
+- **sa2**: stride of the second dimension of `A`.
+- **oa**: index offset for `A`.
+- **tau**: vector of K scalar factors of the elementary reflectors as a [`Float64Array`][mdn-float64array].
+- **st**: stride length for `tau`.
+- **ot**: index offset for `tau`.
+- **work**: workspace array as a [`Float64Array`][mdn-float64array].
+- **sw**: stride length for `work`.
+- **ow**: index offset for `work`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var tau = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+var work = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+
+dorg2r.ndarray( 3, 2, 2, A, 1, 3, 3, tau, 1, 2, work, 1, 0 );
+// A => [ 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+```
+
+
+
+
+
+
+
+## Notess
+
+- The function overwrites the input matrix `A` with the orthogonal matrix `Q`.
+- The matrix Q is generated from the Householder vectors and scalar factors returned by `dgeqrf`.
+- `dorg2r()` corresponds to the [LAPACK][LAPACK] function [`dorg2r`][lapack-dorg2r].
+
+
+
+
+
+
+
+## Examples
+
+
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var dorg2r = require( '@stdlib/lapack/base/dorg2r' );
+
+// Specify matrix meta data:
+var M = 4;
+var N = 3;
+var K = 2;
+
+// Create a matrix stored in linear memory:
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+console.log( 'Original matrix A containing Householder vectors:' );
+console.log( ndarray2array( A, [ M, N ], [ 1, M ], 0, 'column-major' ) );
+
+// Define scalar factors of the elementary reflectors:
+var tau = new Float64Array( [ 1.2, 0.8 ] );
+
+// Create workspace array:
+var work = new Float64Array( N );
+
+// Generate the orthogonal matrix Q:
+dorg2r( 'column-major', M, N, K, A, M, tau, work );
+console.log( 'Resulting orthogonal matrix Q:' );
+console.log( ndarray2array( A, [ M, N ], [ 1, M ], 0, 'column-major' ) );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+TODO
+```
+
+#### TODO
+
+TODO.
+
+```c
+TODO
+```
+
+TODO
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[lapack]: https://www.netlib.org/lapack/explore-html/
+
+[lapack-dorg2r]: https://netlib.org/lapack/explore-html/da/da2/group__ung2r_ga8877e79ab6e262ae7497f11d8534635c.html#ga8877e79ab6e262ae7497f11d8534635c
+
+[mdn-float64array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float64Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+
+
+
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/benchmark/benchmark.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/benchmark/benchmark.js
new file mode 100644
index 000000000000..cf9c02afb597
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/benchmark/benchmark.js
@@ -0,0 +1,123 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pkg = require( './../package.json' ).name;
+var dorg2r = require( './../lib/dorg2r.js' );
+
+
+// VARIABLES //
+
+var LAYOUTS = [
+ 'row-major',
+ 'column-major'
+];
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {string} order - storage layout
+* @param {PositiveInteger} N - matrix order (N-by-N)
+* @returns {Function} benchmark function
+*/
+function createBenchmark( order, N ) {
+ var work;
+ var opts;
+ var tau;
+ var A;
+
+ opts = {
+ 'dtype': 'float64'
+ };
+
+ // Random input matrix and auxiliary arrays:
+ A = uniform( N*N, -1.0, 1.0, opts );
+ tau = uniform( N, 0.1, 1.0, opts );
+ work = uniform( N, 0.0, 0.0, opts );
+
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var z;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ z = dorg2r( order, N, N, 0, A, N, tau, work );
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var min;
+ var max;
+ var ord;
+ var N;
+ var f;
+ var i;
+ var k;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( k = 0; k < LAYOUTS.length; k++ ) {
+ ord = LAYOUTS[ k ];
+ for ( i = min; i <= max; i++ ) {
+ N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+ f = createBenchmark( ord, N );
+ bench( pkg+':order='+ord+',size='+(N*N), f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..1f236757de6e
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/benchmark/benchmark.ndarray.js
@@ -0,0 +1,134 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pkg = require( './../package.json' ).name;
+var dorg2r = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var LAYOUTS = [
+ 'row-major',
+ 'column-major'
+];
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {string} order - storage layout
+* @param {PositiveInteger} N - matrix order (N-by-N)
+* @returns {Function} benchmark function
+*/
+function createBenchmark( order, N ) {
+ var work;
+ var sa1;
+ var sa2;
+ var tau;
+ var A;
+
+ if ( isColumnMajor( order ) ) {
+ sa1 = 1;
+ sa2 = N;
+ } else {
+ sa1 = N;
+ sa2 = 1;
+ }
+
+ A = uniform( N*N, -1.0, 1.0, {
+ 'dtype': 'float64'
+ });
+ tau = uniform( N, 0.1, 1.0, {
+ 'dtype': 'float64'
+ });
+ work = uniform( N, 0.0, 0.0, {
+ 'dtype': 'float64'
+ });
+
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var z;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ z = dorg2r( N, N, 0, A, sa1, sa2, 0, tau, 1, 0, work, 1, 0 );
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var min;
+ var max;
+ var ord;
+ var N;
+ var f;
+ var i;
+ var k;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( k = 0; k < LAYOUTS.length; k++ ) {
+ ord = LAYOUTS[ k ];
+ for ( i = min; i <= max; i++ ) {
+ N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+ f = createBenchmark( ord, N );
+ bench( pkg+':ndarray:order='+ord+',size='+(N*N), f );
+ }
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/docs/repl.txt b/lib/node_modules/@stdlib/lapack/base/dorg2r/docs/repl.txt
new file mode 100644
index 000000000000..45624c4156f7
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/docs/repl.txt
@@ -0,0 +1,115 @@
+{{alias}}( order, M, N, K, A, LDA, tau, work )
+ Generates an M-by-N real matrix Q with orthonormal columns. The matrix Q
+ is defined as the first N columns of a product of K elementary reflectors
+ of order M. Q = H(1) H(2) . . . H(K) as returned by dgeqrf.
+
+ The function overwrites the input matrix A with the orthogonal matrix Q.
+
+ Parameters
+ ----------
+ order: string
+ Row-major (C-style) or column-major (Fortran-style) order. Must be
+ either 'row-major' or 'column-major'.
+
+ M: integer
+ Number of rows in matrix A.
+
+ N: integer
+ Number of columns in matrix A.
+
+ K: integer
+ Number of elementary reflectors whose product defines the matrix Q.
+
+ A: Float64Array
+ Input matrix (overwritten by Householder vectors from dgeqrf).
+
+ LDA: integer
+ Stride of the first dimension of A (a.k.a., leading dimension of the
+ matrix A).
+
+ tau: Float64Array
+ Vector of K scalar factors of the elementary reflectors.
+
+ work: Float64Array
+ Workspace array.
+
+ Returns
+ -------
+ A: Float64Array
+ Mutated input matrix overwritten with the orthogonal matrix Q.
+
+ Examples
+ --------
+ > var A = new {{alias:@stdlib/array/float64}}([ 1.0,2.0,3.0,4.0,5.0,6.0 ]);
+ > var tau = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0 ] );
+ > var work = new {{alias:@stdlib/array/float64}}( 10 );
+ > {{alias}}( 'column-major', 3, 2, 2, A, 3, tau, work )
+ [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+
+
+{{alias}}.ndarray( M, N, K, A, sa1, sa2, oa, tau, st, ot, work, sw, ow )
+ Generates an M-by-N real matrix Q with orthonormal columns using
+ alternative indexing semantics. The matrix Q is defined as the first N
+ columns of a product of K elementary reflectors of order M.
+ `Q = H(1) H(2) . . . H(K)` as returned by `dgeqrf`.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ Parameters
+ ----------
+ M: integer
+ Number of rows in matrix A.
+
+ N: integer
+ Number of columns in matrix A.
+
+ K: integer
+ Number of elementary reflectors whose product defines the matrix Q.
+
+ A: Float64Array
+ Input matrix.
+
+ sa1: integer
+ Stride of the first dimension of A.
+
+ sa2: integer
+ Stride of the second dimension of A.
+
+ oa: integer
+ Index offset for A.
+
+ tau: Float64Array
+ Vector of K scalar factors of the elementary reflectors.
+
+ st: integer
+ Stride length for tau.
+
+ ot: integer
+ Index offset for tau.
+
+ work: Float64Array
+ Workspace array.
+
+ sw: integer
+ Stride length for work.
+
+ ow: integer
+ Index offset for work.
+
+ Returns
+ -------
+ A: Float64Array
+ Mutated input matrix overwritten with the orthogonal matrix Q.
+
+ Examples
+ --------
+ > var A = new {{alias:@stdlib/array/float64}}([ 1.0,2.0,3.0,4.0,5.0,6.0 ]);
+ > var tau = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0 ] );
+ > var work = new {{alias:@stdlib/array/float64}}( 10 );
+ > {{alias}}.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 )
+ [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/dorg2r/docs/types/index.d.ts
new file mode 100644
index 000000000000..d0be77106bf7
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/docs/types/index.d.ts
@@ -0,0 +1,128 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { Layout } from '@stdlib/types/blas';
+
+/**
+* Interface describing `dorg2r`.
+*/
+interface Routine {
+ /**
+ * Generates an `M`-by-`N` real matrix `Q` with orthonormal columns. The matrix `Q` is defined as the first `N` columns of a product of `K` elementary reflectors of order `M`. `Q = H(1) H(2) . . . H(K)` as returned by `dgeqrf`.
+ *
+ *
+ * @param order - storage layout
+ * @param M - number of rows in `A`
+ * @param N - number of columns in `A`
+ * @param K - number of elementary reflectors whose product defines the matrix `Q`
+ * @param A - input matrix (overwritten with `Q` on output)
+ * @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+ * @param tau - vector of `K` scalar factors of the elementary reflectors
+ * @param work - workspace array
+ * @returns matrix `A` overwritten with the orthogonal matrix `Q`
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ * var dorg2r = require( '@stdlib/lapack/base/dorg2r' );
+ *
+ * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ * var tau = new Float64Array( [ 0.0, 0.0 ] );
+ * var work = new Float64Array( 10 );
+ *
+ * dorg2r( 'column-major', 3, 2, 2, A, 3, tau, work );
+ * // A => [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+ */
+ ( order: Layout, M: number, N: number, K: number, A: Float64Array, LDA: number, tau: Float64Array, work: Float64Array ): Float64Array;
+
+ /**
+ * Generates an `M`-by-`N` real matrix `Q` with orthonormal columns using alternative indexing semantics. The matrix `Q` is defined as the first `N` columns of a product of `K` elementary reflectors of order `M`. `Q = H(1) H(2) . . . H(K)` as returned by `dgeqrf`.
+ *
+ * @param M - number of rows in `A`
+ * @param N - number of columns in `A`
+ * @param K - number of elementary reflectors
+ * @param A - input matrix
+ * @param strideA1 - stride of the first dimension of `A`
+ * @param strideA2 - stride of the second dimension of `A`
+ * @param offsetA - index offset for `A`
+ * @param tau - vector of scalar factors of the elementary reflectors
+ * @param strideTau - stride length for `tau`
+ * @param offsetTau - index offset for `tau`
+ * @param work - workspace array
+ * @param strideWork - stride length for `work`
+ * @param offsetWork - index offset for `work`
+ * @returns matrix `A` overwritten with the orthogonal matrix `Q`
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ * var dorg2r = require( '@stdlib/lapack/base/dorg2r' );
+ *
+ * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ * var tau = new Float64Array( [ 0.0, 0.0 ] );
+ * var work = new Float64Array( 10 );
+ *
+ * dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 );
+ * // A => [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+ */
+ ndarray( M: number, N: number, K: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, tau: Float64Array, strideTau: number, offsetTau: number, work: Float64Array, strideWork: number, offsetWork: number ): Float64Array; // eslint-disable-line max-len
+}
+
+/**
+* Generates an `M`-by-`N` real matrix `Q` with orthonormal columns. The matrix `Q` is defined as the first `N` columns of a product of `K` elementary reflectors of order `M`. `Q = H(1) H(2) . . . H(K)` as returned by `dgeqrf`.
+*
+* @param order - storage layout
+* @param M - number of rows in `A`
+* @param N - number of columns in `A`
+* @param K - number of elementary reflectors whose product defines the matrix `Q`
+* @param A - input matrix (overwritten with `Q` on output)
+* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param tau - vector of `K` scalar factors of the elementary reflectors
+* @param work - workspace array
+* @returns matrix `A` overwritten with the orthogonal matrix `Q`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dorg2r = require( '@stdlib/lapack/base/dorg2r' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var tau = new Float64Array( [ 0.0, 0.0 ] );
+* var work = new Float64Array( 10 );
+*
+* dorg2r( 'column-major', 3, 2, 2, A, 3, tau, work );
+* // A => [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dorg2r = require( '@stdlib/lapack/base/dorg2r' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var tau = new Float64Array( [ 0.0, 0.0 ] );
+* var work = new Float64Array( 10 );
+*
+* dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 );
+* // A => [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+*/
+declare var dorg2r: Routine;
+
+
+// EXPORTS //
+
+export = dorg2r;
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/docs/types/test.ts b/lib/node_modules/@stdlib/lapack/base/dorg2r/docs/types/test.ts
new file mode 100644
index 000000000000..60e928164f32
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/docs/types/test.ts
@@ -0,0 +1,415 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import dorg2r = require( './index' );
+
+
+// TESTS //
+
+// The function returns a Float64Array...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau, work ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r( 5, 3, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( true, 3, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( false, 3, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( null, 3, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( void 0, 3, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( [], 3, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( {}, 3, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( ( x: number ): number => x, 3, 2, 2, A, 3, tau, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r( 'column-major', '3', 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', true, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', false, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', null, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', void 0, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', [], 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', {}, 2, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', ( x: number ): number => x, 2, 2, A, 3, tau, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r( 'column-major', 3, '2', 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, true, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, false, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, null, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, void 0, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, [], 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, {}, 2, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, ( x: number ): number => x, 2, A, 3, tau, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r( 'column-major', 3, 2, '2', A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, true, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, false, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, null, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, void 0, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, [], A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, {}, A, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, ( x: number ): number => x, A, 3, tau, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a Float64Array...
+{
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r( 'column-major', 3, 2, 2, '5', 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, 5, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, true, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, false, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, null, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, void 0, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, [], 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, {}, 3, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, ( x: number ): number => x, 3, tau, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r( 'column-major', 3, 2, 2, A, '3', tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, true, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, false, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, null, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, void 0, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, [], tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, {}, tau, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, ( x: number ): number => x, tau, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a Float64Array...
+{
+ const A = new Float64Array( 6 );
+ const work = new Float64Array( 10 );
+
+ dorg2r( 'column-major', 3, 2, 2, A, 3, '5', work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, 5, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, true, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, false, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, null, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, void 0, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, [], work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, {}, work ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, ( x: number ): number => x, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eighth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau, '5' ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau, 5 ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau, true ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau, false ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau, null ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau, void 0 ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau, [] ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau, {} ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r(); // $ExpectError
+ dorg2r( 'column-major' ); // $ExpectError
+ dorg2r( 'column-major', 3 ); // $ExpectError
+ dorg2r( 'column-major', 3, 2 ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2 ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3 ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau ); // $ExpectError
+ dorg2r( 'column-major', 3, 2, 2, A, 3, tau, work, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a Float64Array...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( '3', 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( true, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( false, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( null, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( void 0, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( [], 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( {}, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( ( x: number ): number => x, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, '2', 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, true, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, false, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, null, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, void 0, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, [], 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, {}, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, ( x: number ): number => x, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, 2, '2', A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, true, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, false, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, null, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, void 0, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, [], A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, {}, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, ( x: number ): number => x, A, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a Float64Array...
+{
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, 2, 2, '5', 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, 5, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, true, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, false, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, null, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, void 0, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, [], 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, {}, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, ( x: number ): number => x, 1, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, 2, 2, A, '1', 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, true, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, false, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, null, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, void 0, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, [], 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, {}, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, ( x: number ): number => x, 3, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, 2, 2, A, 1, '3', 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, true, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, false, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, null, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, void 0, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, [], 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, {}, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, ( x: number ): number => x, 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, '0', tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, true, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, false, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, null, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, void 0, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, [], tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, {}, tau, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, ( x: number ): number => x, tau, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eighth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 6 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, '5', 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, 5, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, true, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, false, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, null, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, void 0, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, [], 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, {}, 1, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, ( x: number ): number => x, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a ninth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, '1', 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, true, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, false, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, null, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, void 0, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, [], 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, {}, 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, ( x: number ): number => x, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a tenth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, '0', work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, true, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, false, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, null, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, void 0, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, [], work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, {}, work, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, ( x: number ): number => x, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eleventh argument which is not a Float64Array...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, '5', 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, 5, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, true, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, false, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, null, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, void 0, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, [], 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, {}, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a twelfth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, '1', 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, true, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, false, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, null, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, void 0, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, [], 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, {}, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a thirteenth argument which is not a number...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, '0' ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, true ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, false ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, null ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, void 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, [] ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, {} ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const A = new Float64Array( 6 );
+ const tau = new Float64Array( 2 );
+ const work = new Float64Array( 10 );
+
+ dorg2r.ndarray(); // $ExpectError
+ dorg2r.ndarray( 3 ); // $ExpectError
+ dorg2r.ndarray( 3, 2 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1 ); // $ExpectError
+ dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/examples/index.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/examples/index.js
new file mode 100644
index 000000000000..13dd9280dc90
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/examples/index.js
@@ -0,0 +1,41 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var dorg2r = require( './../lib' );
+
+var M = 4;
+var N = 3;
+var K = 2;
+
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] ); // eslint-disable-line max-len
+
+console.log( 'Original matrix A containing Householder vectors:' );
+console.log( ndarray2array( A, [ M, N ], [ 1, M ], 0, 'column-major' ) );
+
+var tau = new Float64Array( [ 1.2, 0.8 ] );
+
+var work = new Float64Array( N );
+
+dorg2r( 'column-major', M, N, K, A, M, tau, work );
+
+console.log( 'Resulting orthogonal matrix Q:' );
+console.log( ndarray2array( A, [ M, N ], [ 1, M ], 0, 'column-major' ) );
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/base.js
new file mode 100644
index 000000000000..6f7cc8a52ae2
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/base.js
@@ -0,0 +1,124 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var dscal = require( '@stdlib/blas/base/dscal' ).ndarray;
+var dlarf1f = require( './dlarf1f.js' );
+
+
+// MAIN //
+
+/**
+* Generates an M-by-N real matrix Q with orthonormal columns. The matrix Q is defined as the first N columns of a product of K elementary reflectors of order M. `Q = H(1) H(2) . . . H(K)` as returned by `dgeqrf`.
+*
+* @private
+* @param {PositiveInteger} M - number of rows in matrix `A`
+* @param {PositiveInteger} N - number of columns in matrix `A`
+* @param {NonNegativeInteger} K - number of elementary reflectors whose product defines the matrix Q
+* @param {Float64Array} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - index offset for `A`
+* @param {Float64Array} tau - vector of K scalar factors of the elementary reflectors
+* @param {integer} strideTau - stride length for `tau`
+* @param {NonNegativeInteger} offsetTau - index offset for `tau`
+* @param {Float64Array} work - workspace array
+* @param {integer} strideWork - stride length for `work`
+* @param {NonNegativeInteger} offsetWork - index offset for `work`
+* @returns {Float64Array} matrix `A` overwritten with the orthogonal matrix Q
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var tau = new Float64Array( [ 0.0, 0.0 ] );
+* var work = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+*
+* dorg2r( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 );
+* // A => [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+*/
+function dorg2r( M, N, K, A, strideA1, strideA2, offsetA, tau, strideTau, offsetTau, work, strideWork, offsetWork ) { // eslint-disable-line max-len, max-params
+ var ia1;
+ var ia3;
+ var del;
+ var ia2;
+ var it;
+ var i;
+ var j;
+ var l;
+
+ if ( N <= 0 ) {
+ return A;
+ }
+
+ // Initialize columns k+1:n to columns of the unit matrix
+ ia1 = offsetA + (K*strideA1) + (K*strideA2);
+ ia2 = offsetA + (K*strideA2);
+ del = strideA1 + strideA2;
+
+ for ( j = K; j < N; j++ ) {
+ for ( l = 0; l < M; l++ ) {
+ A[ ia2 ] = 0.0;
+ ia2 += strideA1;
+ }
+ A[ ia1 ] = 1.0;
+ ia1 += del;
+ ia2 += strideA2;
+ }
+
+ it = offsetTau + ((K-1)*strideTau);
+ ia1 = offsetA + ((K-1)*(strideA1+strideA2));
+ ia2 = offsetA + ((K-1)*strideA2);
+
+ // Apply H(i) to A(i:m,i:n) from the left
+ for ( i = K-1; i >= 0; i-- ) {
+ if ( i < N ) {
+ // Apply H(i) to A(i:m,i+1:n) from the left
+ dlarf1f( 'left', M-i, N-i-1, A, strideA1, ia1, tau[ it ], A, strideA1, strideA2, ia1 + strideA2, work, strideWork, offsetWork );
+ }
+ if ( i < M ) {
+ // Scale A(i+1:m,i) by -tau(i)
+ dscal( M-i-1, -tau[ it ], A, strideA1, ia1 + strideA1 );
+ }
+
+ // Set A(i,i) = 1 - tau(i)
+ A[ ia1 ] = 1.0 - tau[ it ];
+
+ ia3 = 0;
+
+ // Set A(0:i-1,i) to zero
+ for ( l = 0; l < i; l++ ) {
+ A[ ia2 + ia3 ] = 0.0;
+ ia3 += strideA1;
+ }
+ it -= strideTau;
+
+ ia1 -= del;
+ ia2 -= strideA2;
+ }
+
+ return A;
+}
+
+
+// EXPORTS //
+
+module.exports = dorg2r;
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/dlarf1f.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/dlarf1f.js
new file mode 100644
index 000000000000..1da894fe3c3c
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/dlarf1f.js
@@ -0,0 +1,128 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/* eslint-disable max-len */
+
+// MODULES //
+
+var iladlc = require( '@stdlib/lapack/base/iladlc' ).ndarray;
+var iladlr = require( '@stdlib/lapack/base/iladlr' ).ndarray;
+var dgemv = require( '@stdlib/blas/base/dgemv' ).ndarray;
+var dger = require( '@stdlib/blas/base/dger' ).ndarray;
+var daxpy = require( '@stdlib/blas/base/daxpy' ).ndarray;
+var dscal = require( '@stdlib/blas/base/dscal' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Applies a real elementary reflector `H = I - tau * v * v ^ T` to a real M by N matrix `C`.
+*
+* ## Notes
+*
+* - `work` should have `N` indexed elements if side = `left` and `M` indexed elements if side = `right`.
+* - `V` should have `1 + (M-1) * abs(strideV)` indexed elements if side = `left` and `1 + (N-1) * abs(strideV)` indexed elements if side = `right`.
+* - `C` is overwritten by `H * C` if side = `left` and `C * H` if side = `right`.
+*
+* @private
+* @param {string} side - specifies the side of multiplication with `C`. Use `left` to form `H * C` and `right` to from `C * H`.
+* @param {NonNegativeInteger} M - number of rows in `C`
+* @param {NonNegativeInteger} N - number of columns in `C`
+* @param {Float64Array} V - the vector `v` in the representation of `H`
+* @param {integer} strideV - stride length for `V`
+* @param {NonNegativeInteger} offsetV - starting index for `V`
+* @param {number} tau - the value of `tau` in representation of `H`
+* @param {Float64Array} C - input matrix
+* @param {integer} strideC1 - stride of the first dimension of `C`
+* @param {integer} strideC2 - stride of the second dimension of `C`
+* @param {NonNegativeInteger} offsetC - starting index for `C`
+* @param {Float64Array} work - workspace array
+* @param {integer} strideWork - stride length for `work`
+* @param {NonNegativeInteger} offsetWork - starting index for `work`
+* @returns {Float64Array} `C * H` or `H * C`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var C = new Float64Array( [ 1.0, 5.0, 9.0, 2.0, 6.0, 10.0, 3.0, 7.0, 11.0, 4.0, 8.0, 12.0 ] );
+* var V = new Float64Array( [ 0.5, 0.5, 0.5, 0.5 ] );
+* var work = new Float64Array( 3 );
+*
+* var out = dlarf1f( 'left', 4, 3, V, 1, 0, 1.0, C, 3, 1, 0, work, 1, 0 );
+* // returns [ -4.5, -10.5, -16.5, -0.75, -1.75, -2.75, 0.25, -0.75, -1.75, 1.25, 0.25, -0.75 ]
+*/
+function dlarf1f( side, M, N, V, strideV, offsetV, tau, C, strideC1, strideC2, offsetC, work, strideWork, offsetWork ) { // eslint-disable-line max-params
+ var lastv;
+ var lastc;
+ var i;
+
+ lastv = 1;
+ lastc = 0;
+ if ( tau !== 0.0 ) {
+ if ( side === 'left' ) {
+ lastv = M;
+ } else {
+ lastv = N;
+ }
+
+ // i points to the last element in V
+ i = offsetV + ( ( lastv - 1 ) * strideV );
+
+ // Move i to the last non-zero element in V
+ while ( lastv > 0 && V[ i ] === 0.0 ) {
+ lastv -= 1;
+ i -= strideV;
+ }
+ if ( side === 'left' ) {
+ lastc = iladlc( lastv + 1, N, C, strideC1, strideC2, offsetC ) + 1; // to account for the difference between zero-based and one-based indexing
+ } else {
+ lastc = iladlr( M, lastv + 1, C, strideC1, strideC2, offsetC ) + 1; // to account for the difference between zero-based and one-based indexing
+ }
+ // lastc is zero if a matrix is filled with zeros
+ }
+ if ( lastc === 0 ) {
+ // Returns C unchanged if tau is zero or all elements in C are zero
+ return C;
+ }
+ if ( side === 'left' ) {
+ if ( lastv === 0 ) {
+ dscal( lastc, 1.0 - tau, C, strideC2, offsetC ); // scale the first row
+ } else {
+ dgemv( 'transpose', lastv-1, lastc, 1.0, C, strideC1, strideC2, offsetC + strideC1, V, strideV, offsetV + strideV, 0.0, work, strideWork, offsetWork ); // C( 1, 0 ) is accessed here
+ daxpy( lastc, 1.0, C, strideC2, offsetC, work, strideWork, offsetWork ); // operates on the first row of C
+ daxpy( lastc, -tau, work, strideWork, offsetWork, C, strideC2, offsetC ); // operates on the first row of C
+ dger( lastv-1, lastc, -tau, V, strideV, offsetV + strideV, work, strideWork, offsetWork, C, strideC1, strideC2, offsetC + strideC1 ); // C( 1, 0 ) is accessed here
+ }
+ } else if ( lastv === 0 ) {
+ dscal( lastc, 1.0 - tau, C, strideC1, offsetC ); // scale the first column
+ } else {
+ dgemv( 'no-transpose', lastc, lastv-1, 1.0, C, strideC1, strideC2, offsetC + strideC2, V, strideV, offsetV + strideV, 0.0, work, strideWork, offsetWork ); // C( 0, 1 ) is accessed here
+ daxpy( lastc, 1.0, C, strideC1, offsetC, work, strideWork, offsetWork ); // operates on the first column of C
+ daxpy( lastc, -tau, work, strideWork, offsetWork, C, strideC1, offsetC ); // operates on the first column of C
+ dger( lastc, lastv-1, -tau, work, strideWork, offsetWork, V, strideV, offsetV + strideV, C, strideC1, strideC2, offsetC + strideC2 ); // C( 0, 1 ) is accessed here
+ }
+
+ return C;
+}
+
+
+// EXPORTS //
+
+module.exports = dlarf1f;
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/dorg2r.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/dorg2r.js
new file mode 100644
index 000000000000..a4f97d88a27a
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/dorg2r.js
@@ -0,0 +1,80 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major-string' );
+var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' );
+var max = require( '@stdlib/math/base/special/max' );
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Generates an M-by-N real matrix Q with orthonormal columns. The matrix Q is defined as the first N columns of a product of K elementary reflectors of order M. `Q = H(1) H(2) . . . H(K)` as returned by `dgeqrf`.
+*
+* @param {string} order - storage layout
+* @param {PositiveInteger} M - number of rows in matrix `A`
+* @param {PositiveInteger} N - number of columns in matrix `A`
+* @param {NonNegativeInteger} K - number of elementary reflectors whose product defines the matrix Q
+* @param {Float64Array} A - input matrix
+* @param {PositiveInteger} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param {Float64Array} tau - vector of K scalar factors of the elementary reflectors
+* @param {Float64Array} work - workspace array
+* @throws {TypeError} first argument must be a valid order
+* @throws {RangeError} sixth argument must be greater than or equal to max(1,M)
+* @returns {Float64Array} matrix `A` overwritten with the orthogonal matrix Q
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var tau = new Float64Array( [ 0.0, 0.0 ] );
+* var work = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+*
+* dorg2r( 'column-major', 3, 2, 2, A, 3, tau, work );
+* // A => [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+*/
+function dorg2r( order, M, N, K, A, LDA, tau, work ) {
+ var sa1;
+ var sa2;
+ if ( !isLayout( order ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
+ }
+ if ( isRowMajor( order ) && LDA < max( 1, N ) ) {
+ throw new RangeError( format( 'invalid argument. Sixth argument must be greater than or equal to max(1,%d). Value: `%d`.', M, LDA ) );
+ }
+ if ( isColumnMajor( order ) ) {
+ sa1 = 1;
+ sa2 = LDA;
+ } else { // order === 'row-major'
+ sa1 = LDA;
+ sa2 = 1;
+ }
+ return base( M, N, K, A, sa1, sa2, 0, tau, 1, 0, work, 1, 0 );
+}
+
+
+// EXPORTS //
+
+module.exports = dorg2r;
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/index.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/index.js
new file mode 100644
index 000000000000..a60c5cb7dc27
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/index.js
@@ -0,0 +1,70 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* LAPACK routine to generate an M-by-N real matrix Q with orthonormal columns. The matrix Q is defined as the first N columns of a product of K elementary reflectors of order M. `Q = H(1) H(2) . . . H(K)` as returned by `dgeqrf`.
+*
+* @module @stdlib/lapack/base/dorg2r
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dorg2r = require( '@stdlib/lapack/base/dorg2r' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var tau = new Float64Array( [ 0.0, 0.0 ] );
+* var work = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+*
+* dorg2r( 'column-major', 3, 2, 2, A, 3, tau, work );
+* // A => [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dorg2r = require( '@stdlib/lapack/base/dorg2r' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var tau = new Float64Array( [ 0.0, 0.0 ] );
+* var work = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+*
+* dorg2r.ndarray( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 );
+* // A => [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+*/
+
+// MODULES //
+
+var join = require( 'path' ).join;
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isError = require( '@stdlib/assert/is-error' );
+var main = require( './main.js' );
+
+
+// MAIN //
+
+var dorg2r;
+var tmp = tryRequire( join( __dirname, './native.js' ) );
+if ( isError( tmp ) ) {
+ dorg2r = main;
+} else {
+ dorg2r = tmp;
+}
+
+
+// EXPORTS //
+
+module.exports = dorg2r;
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/main.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/main.js
new file mode 100644
index 000000000000..fb5fc0f2cc24
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/main.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var dorg2r = require( './dorg2r.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( dorg2r, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = dorg2r;
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/ndarray.js
new file mode 100644
index 000000000000..dfa82bfbb3d8
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/lib/ndarray.js
@@ -0,0 +1,63 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Generates an M-by-N real matrix Q with orthonormal columns. The matrix Q is defined as the first N columns of a product of K elementary reflectors of order M. `Q = H(1) H(2) . . . H(K)` as returned by `dgeqrf`.
+*
+* @param {PositiveInteger} M - number of rows in matrix `A`
+* @param {PositiveInteger} N - number of columns in matrix `A`
+* @param {NonNegativeInteger} K - number of elementary reflectors whose product defines the matrix Q
+* @param {Float64Array} A - input matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - index offset for `A`
+* @param {Float64Array} tau - vector of K scalar factors of the elementary reflectors
+* @param {integer} strideTau - stride length for `tau`
+* @param {NonNegativeInteger} offsetTau - index offset for `tau`
+* @param {Float64Array} work - workspace array
+* @param {integer} strideWork - stride length for `work`
+* @param {NonNegativeInteger} offsetWork - index offset for `work`
+* @returns {Float64Array} matrix `A` overwritten with the orthogonal matrix Q
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var tau = new Float64Array( [ 0.0, 0.0 ] );
+* var work = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+*
+* dorg2r( 3, 2, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 );
+* // A => [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+*/
+function dorg2r( M, N, K, A, strideA1, strideA2, offsetA, tau, strideTau, offsetTau, work, strideWork, offsetWork ) { // eslint-disable-line max-len, max-params
+ return base( M, N, K, A, strideA1, strideA2, offsetA, tau, strideTau, offsetTau, work, strideWork, offsetWork ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dorg2r;
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/package.json b/lib/node_modules/@stdlib/lapack/base/dorg2r/package.json
new file mode 100644
index 000000000000..ea0006080b68
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/package.json
@@ -0,0 +1,73 @@
+{
+ "name": "@stdlib/lapack/base/dorg2r",
+ "version": "0.0.0",
+ "description": "LAPACK routine to generate an M-by-N real matrix Q with orthonormal columns.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "mathematics",
+ "math",
+ "lapack",
+ "dorg2r",
+ "orthogonal",
+ "qr",
+ "decomposition",
+ "householder",
+ "reflectors",
+ "matrix",
+ "linear",
+ "algebra",
+ "subroutines",
+ "array",
+ "ndarray",
+ "float64",
+ "double",
+ "float64array"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/column_major.json b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/column_major.json
new file mode 100644
index 000000000000..7d37c2912dd5
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/column_major.json
@@ -0,0 +1,27 @@
+{
+ "M": 3,
+ "N": 2,
+ "K": 2,
+ "LDA": 3,
+ "A_mat": [
+ [ 1.0, 4.0 ],
+ [ 2.0, 5.0 ],
+ [ 3.0, 6.0 ]
+ ],
+ "A": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ],
+ "strideA1": 1,
+ "strideA2": 3,
+ "offsetA": 0,
+ "tau": [ 0.0, 0.0 ],
+ "strideTau": 1,
+ "offsetTau": 0,
+ "work": [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ],
+ "strideWork": 1,
+ "offsetWork": 0,
+ "A_out_mat": [
+ [ 1.0, 0.0 ],
+ [ 0.0, 1.0 ],
+ [ 0.0, 0.0 ]
+ ],
+ "A_out": [ 1.0, 0.0, 0.0, 0.0, 1.0, 0.0 ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/column_major_k_lt_n.json b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/column_major_k_lt_n.json
new file mode 100644
index 000000000000..d146be42f228
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/column_major_k_lt_n.json
@@ -0,0 +1,35 @@
+{
+ "M": 7,
+ "N": 7,
+ "K": 3,
+ "LDA": 7,
+ "A_mat": [
+ [ 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.2100000000000000199840144, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.3100000000000000532907052, 0.3200000000000000621724894, 2.0, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.4100000000000000310862447, 0.4200000000000000399680289, 0.4300000000000000488498131, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.5100000000000000088817842, 0.5200000000000000177635684, 0.5300000000000000266453526, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.6100000000000000976996262, 0.6200000000000001065814104, 0.6300000000000001154631946, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.7100000000000000754951657, 0.7200000000000000843769499, 0.7300000000000000932587341, 0.0, 0.0, 0.0, 0.0 ]
+ ],
+ "A": [ 2.0, 0.2100000000000000199840144, 0.3100000000000000532907052, 0.4100000000000000310862447, 0.5100000000000000088817842, 0.6100000000000000976996262, 0.7100000000000000754951657, 0.0, 2.0, 0.3200000000000000621724894, 0.4200000000000000399680289, 0.5200000000000000177635684, 0.6200000000000001065814104, 0.7200000000000000843769499, 0.0, 0.0, 2.0, 0.4300000000000000488498131, 0.5300000000000000266453526, 0.6300000000000001154631946, 0.7300000000000000932587341, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ],
+ "strideA1": 1,
+ "strideA2": 7,
+ "offsetA": 0,
+ "tau": [ 1.0, 1.0, 1.0 ],
+ "strideTau": 1,
+ "offsetTau": 0,
+ "work": [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ],
+ "strideWork": 1,
+ "offsetWork": 0,
+ "A_out_mat": [
+ [ 0.0, 1.4260000000000003783640068, -0.8960464000000005757584631, -0.1999935520000002964202679, -0.2473501920000003018174084, -0.2947068320000004737480026, -0.3420634720000004236339919 ],
+ [ -0.2100000000000000199840144, 0.2994600000000001149835782, 1.1842302560000002031870281, 0.2657333540800001503434657, 0.3250284596800001590821694, 0.3843235652800002788431755, 0.4436186708800002875818791 ],
+ [ -0.3100000000000000532907052, 0.1220600000000001128519500, 0.1613936159999999619962807, -0.3935237611200000373834484, -0.4860475195200000264605933, -0.5785712779200001820711918, -0.6710950363200000046148830 ],
+ [ -0.4100000000000000310862447, 0.1646600000000001395861204, -0.2209710240000001824078879, 0.8623500836799998792159272, -0.1709853387200000462975424, -0.2043207611200000828333145, -0.2376561835200000638579354 ],
+ [ -0.5100000000000000088817842, 0.2072600000000002218314421, -0.2733356640000001447354805, -0.1698760715200000603886110, 0.7889768420799998516201867, -0.2521702443200001253487130, -0.2933173307200001023176128 ],
+ [ -0.6100000000000000976996262, 0.2498600000000003040767638, -0.3257003040000002735965268, -0.2021022267200001110154517, -0.2510609771200000839286304, 0.6999802724799998321358885, -0.3489784779200001407772902 ],
+ [ -0.7100000000000000754951657, 0.2924600000000002752997830, -0.3780649440000002359241194, -0.2343283819200001061311411, -0.2910987963200001304997500, -0.3478692107200002103795100, 0.5953603748799998207630324 ]
+ ],
+ "A_out": [ 0.0, -0.2100000000000000199840144, -0.3100000000000000532907052, -0.4100000000000000310862447, -0.5100000000000000088817842, -0.6100000000000000976996262, -0.7100000000000000754951657, 1.4260000000000003783640068, 0.2994600000000001149835782, 0.1220600000000001128519500, 0.1646600000000001395861204, 0.2072600000000002218314421, 0.2498600000000003040767638, 0.2924600000000002752997830, -0.8960464000000005757584631, 1.1842302560000002031870281, 0.1613936159999999619962807, -0.2209710240000001824078879, -0.2733356640000001447354805, -0.3257003040000002735965268, -0.3780649440000002359241194, -0.1999935520000002964202679, 0.2657333540800001503434657, -0.3935237611200000373834484, 0.8623500836799998792159272, -0.1698760715200000603886110, -0.2021022267200001110154517, -0.2343283819200001061311411, -0.2473501920000003018174084, 0.3250284596800001590821694, -0.4860475195200000264605933, -0.1709853387200000462975424, 0.7889768420799998516201867, -0.2510609771200000839286304, -0.2910987963200001304997500, -0.2947068320000004737480026, 0.3843235652800002788431755, -0.5785712779200001820711918, -0.2043207611200000828333145, -0.2521702443200001253487130, 0.6999802724799998321358885, -0.3478692107200002103795100, -0.3420634720000004236339919, 0.4436186708800002875818791, -0.6710950363200000046148830, -0.2376561835200000638579354, -0.2933173307200001023176128, -0.3489784779200001407772902, 0.5953603748799998207630324 ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/row_major.json b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/row_major.json
new file mode 100644
index 000000000000..09344ac9ff65
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/row_major.json
@@ -0,0 +1,27 @@
+{
+ "M": 3,
+ "N": 2,
+ "K": 2,
+ "LDA": 2,
+ "A_mat": [
+ [ 1.0, 4.0 ],
+ [ 2.0, 5.0 ],
+ [ 3.0, 6.0 ]
+ ],
+ "A": [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ],
+ "strideA1": 2,
+ "strideA2": 1,
+ "offsetA": 0,
+ "tau": [ 0.0, 0.0 ],
+ "strideTau": 1,
+ "offsetTau": 0,
+ "work": [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ],
+ "strideWork": 1,
+ "offsetWork": 0,
+ "A_out_mat": [
+ [ 1.0, 0.0 ],
+ [ 0.0, 1.0 ],
+ [ 0.0, 0.0 ]
+ ],
+ "A_out": [ 1.0, 0.0, 0.0, 1.0, 0.0, 0.0 ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/row_major_k_lt_n.json b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/row_major_k_lt_n.json
new file mode 100644
index 000000000000..6c6e744b35dc
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/fixtures/row_major_k_lt_n.json
@@ -0,0 +1,35 @@
+{
+ "M": 7,
+ "N": 7,
+ "K": 3,
+ "LDA": 7,
+ "A_mat": [
+ [ 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.2100000000000000199840144, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.3100000000000000532907052, 0.3200000000000000621724894, 2.0, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.4100000000000000310862447, 0.4200000000000000399680289, 0.4300000000000000488498131, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.5100000000000000088817842, 0.5200000000000000177635684, 0.5300000000000000266453526, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.6100000000000000976996262, 0.6200000000000001065814104, 0.6300000000000001154631946, 0.0, 0.0, 0.0, 0.0 ],
+ [ 0.7100000000000000754951657, 0.7200000000000000843769499, 0.7300000000000000932587341, 0.0, 0.0, 0.0, 0.0 ]
+ ],
+ "A": [ 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2100000000000000199840144, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3100000000000000532907052, 0.3200000000000000621724894, 2.0, 0.0, 0.0, 0.0, 0.0, 0.4100000000000000310862447, 0.4200000000000000399680289, 0.4300000000000000488498131, 0.0, 0.0, 0.0, 0.0, 0.5100000000000000088817842, 0.5200000000000000177635684, 0.5300000000000000266453526, 0.0, 0.0, 0.0, 0.0, 0.6100000000000000976996262, 0.6200000000000001065814104, 0.6300000000000001154631946, 0.0, 0.0, 0.0, 0.0, 0.7100000000000000754951657, 0.7200000000000000843769499, 0.7300000000000000932587341, 0.0, 0.0, 0.0, 0.0 ],
+ "strideA1": 7,
+ "strideA2": 1,
+ "offsetA": 0,
+ "tau": [ 1.0, 1.0, 1.0 ],
+ "strideTau": 1,
+ "offsetTau": 0,
+ "work": [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ],
+ "strideWork": 1,
+ "offsetWork": 0,
+ "A_out_mat": [
+ [ 0.0, 1.4260000000000003783640068, -0.8960464000000005757584631, -0.1999935520000002964202679, -0.2473501920000003018174084, -0.2947068320000004737480026, -0.3420634720000004236339919 ],
+ [ -0.2100000000000000199840144, 0.2994600000000001149835782, 1.1842302560000002031870281, 0.2657333540800001503434657, 0.3250284596800001590821694, 0.3843235652800002788431755, 0.4436186708800002875818791 ],
+ [ -0.3100000000000000532907052, 0.1220600000000001128519500, 0.1613936159999999619962807, -0.3935237611200000373834484, -0.4860475195200000264605933, -0.5785712779200001820711918, -0.6710950363200000046148830 ],
+ [ -0.4100000000000000310862447, 0.1646600000000001395861204, -0.2209710240000001824078879, 0.8623500836799998792159272, -0.1709853387200000462975424, -0.2043207611200000828333145, -0.2376561835200000638579354 ],
+ [ -0.5100000000000000088817842, 0.2072600000000002218314421, -0.2733356640000001447354805, -0.1698760715200000603886110, 0.7889768420799998516201867, -0.2521702443200001253487130, -0.2933173307200001023176128 ],
+ [ -0.6100000000000000976996262, 0.2498600000000003040767638, -0.3257003040000002735965268, -0.2021022267200001110154517, -0.2510609771200000839286304, 0.6999802724799998321358885, -0.3489784779200001407772902 ],
+ [ -0.7100000000000000754951657, 0.2924600000000002752997830, -0.3780649440000002359241194, -0.2343283819200001061311411, -0.2910987963200001304997500, -0.3478692107200002103795100, 0.5953603748799998207630324 ]
+ ],
+ "A_out": [ 0.0, 1.4260000000000003783640068, -0.8960464000000005757584631, -0.1999935520000002964202679, -0.2473501920000003018174084, -0.2947068320000004737480026, -0.3420634720000004236339919, -0.2100000000000000199840144, 0.2994600000000001149835782, 1.1842302560000002031870281, 0.2657333540800001503434657, 0.3250284596800001590821694, 0.3843235652800002788431755, 0.4436186708800002875818791, -0.3100000000000000532907052, 0.1220600000000001128519500, 0.1613936159999999619962807, -0.3935237611200000373834484, -0.4860475195200000264605933, -0.5785712779200001820711918, -0.6710950363200000046148830, -0.4100000000000000310862447, 0.1646600000000001395861204, -0.2209710240000001824078879, 0.8623500836799998792159272, -0.1709853387200000462975424, -0.2043207611200000828333145, -0.2376561835200000638579354, -0.5100000000000000088817842, 0.2072600000000002218314421, -0.2733356640000001447354805, -0.1698760715200000603886110, 0.7889768420799998516201867, -0.2521702443200001253487130, -0.2933173307200001023176128, -0.6100000000000000976996262, 0.2498600000000003040767638, -0.3257003040000002735965268, -0.2021022267200001110154517, -0.2510609771200000839286304, 0.6999802724799998321358885, -0.3489784779200001407772902, -0.7100000000000000754951657, 0.2924600000000002752997830, -0.3780649440000002359241194, -0.2343283819200001061311411, -0.2910987963200001304997500, -0.3478692107200002103795100, 0.5953603748799998207630324 ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/test/test.dorg2r.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/test.dorg2r.js
new file mode 100644
index 000000000000..c3a93c099dda
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/test.dorg2r.js
@@ -0,0 +1,208 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dorg2r = require( './../lib/dorg2r.js' );
+
+
+// FIXTURES //
+
+// Note: the outputs are tested against the outputs of the Fortran implementation.
+
+var COL_MAJOR = require( './fixtures/column_major.json' );
+var ROW_MAJOR = require( './fixtures/row_major.json' );
+var COL_MAJOR_K_LT_N = require( './fixtures/column_major_k_lt_n.json' );
+var ROW_MAJOR_K_LT_N = require( './fixtures/row_major_k_lt_n.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dorg2r, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 8', function test( t ) {
+ t.strictEqual( dorg2r.length, 8, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not a valid order', function test( t ) {
+ var values;
+ var work;
+ var tau;
+ var A;
+ var i;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop',
+ -5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+
+ work = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); // eslint-disable-line max-len
+ tau = new Float64Array( [ 0.0, 0.0 ] );
+ A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dorg2r( value, 3, 2, 2, A, 3, tau, work );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a sixth argument which is not a valid `LDA` value (row-major)', function test( t ) {
+ var values;
+ var work;
+ var tau;
+ var A;
+ var i;
+
+ values = [
+ 0,
+ 1
+ ];
+
+ work = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); // eslint-disable-line max-len
+ tau = new Float64Array( [ 0.0, 0.0 ] );
+ A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dorg2r( 'row-major', 3, 2, 2, A, value, tau, work );
+ };
+ }
+});
+
+tape( 'the function generates an orthonormal matrix Q (column-major)', function test( t ) {
+ var expected;
+ var data;
+ var work;
+ var out;
+ var tau;
+ var A;
+
+ data = COL_MAJOR;
+
+ A = new Float64Array( data.A );
+ tau = new Float64Array( data.tau );
+ work = new Float64Array( data.work );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dorg2r( 'column-major', data.M, data.N, data.K, A, data.LDA, tau, work );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function generates an orthonormal matrix Q (row-major)', function test( t ) {
+ var expected;
+ var data;
+ var work;
+ var out;
+ var tau;
+ var A;
+
+ data = ROW_MAJOR;
+
+ A = new Float64Array( data.A );
+ tau = new Float64Array( data.tau );
+ work = new Float64Array( data.work );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dorg2r( 'row-major', data.M, data.N, data.K, A, data.LDA, tau, work );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function generates an orthonormal matrix Q (column-major, K < N)', function test( t ) {
+ var expected;
+ var data;
+ var work;
+ var out;
+ var tau;
+ var A;
+
+ data = COL_MAJOR_K_LT_N;
+
+ A = new Float64Array( data.A );
+ tau = new Float64Array( data.tau );
+ work = new Float64Array( data.work );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dorg2r( 'column-major', data.M, data.N, data.K, A, data.LDA, tau, work );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function generates an orthonormal matrix Q (row-major, K < N)', function test( t ) {
+ var expected;
+ var data;
+ var work;
+ var out;
+ var tau;
+ var A;
+
+ data = ROW_MAJOR_K_LT_N;
+
+ A = new Float64Array( data.A );
+ tau = new Float64Array( data.tau );
+ work = new Float64Array( data.work );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dorg2r( 'row-major', data.M, data.N, data.K, A, data.LDA, tau, work );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/test/test.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/test.js
new file mode 100644
index 000000000000..ca636d9b312a
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var proxyquire = require( 'proxyquire' );
+var IS_BROWSER = require( '@stdlib/assert/is-browser' );
+var dorg2r = require( './../lib' );
+
+
+// VARIABLES //
+
+var opts = {
+ 'skip': IS_BROWSER
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dorg2r, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+ t.strictEqual( typeof dorg2r.ndarray, 'function', 'method is a function' );
+ t.end();
+});
+
+tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) {
+ var dorg2r = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dorg2r, mock, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return mock;
+ }
+
+ function mock() {
+ // Mock...
+ }
+});
+
+tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) {
+ var dorg2r;
+ var main;
+
+ main = require( './../lib/dorg2r.js' );
+
+ dorg2r = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dorg2r, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dorg2r/test/test.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/test.ndarray.js
new file mode 100644
index 000000000000..9df678c11f67
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dorg2r/test/test.ndarray.js
@@ -0,0 +1,163 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dorg2r = require( './../lib/ndarray.js' );
+
+
+// FIXTURES //
+
+// Note: the outputs are tested against the outputs of the Fortran implementation.
+
+var COL_MAJOR = require( './fixtures/column_major.json' );
+var ROW_MAJOR = require( './fixtures/row_major.json' );
+var COL_MAJOR_K_LT_N = require( './fixtures/column_major_k_lt_n.json' );
+var ROW_MAJOR_K_LT_N = require( './fixtures/row_major_k_lt_n.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dorg2r, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 13', function test( t ) {
+ t.strictEqual( dorg2r.length, 13, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function generates an orthogonal matrix Q (column-major)', function test( t ) {
+ var expected;
+ var work;
+ var data;
+ var out;
+ var tau;
+ var A;
+
+ data = COL_MAJOR;
+
+ A = new Float64Array( data.A );
+ tau = new Float64Array( data.tau );
+ work = new Float64Array( data.work );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dorg2r( data.M, data.N, data.K, A, data.strideA1, data.strideA2, data.offsetA, tau, data.strideTau, data.offsetTau, work, data.strideWork, data.offsetWork );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function generates an orthogonal matrix Q (row-major)', function test( t ) {
+ var expected;
+ var work;
+ var data;
+ var out;
+ var tau;
+ var A;
+
+ data = ROW_MAJOR;
+
+ A = new Float64Array( data.A );
+ tau = new Float64Array( data.tau );
+ work = new Float64Array( data.work );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dorg2r( data.M, data.N, data.K, A, data.strideA1, data.strideA2, data.offsetA, tau, data.strideTau, data.offsetTau, work, data.strideWork, data.offsetWork );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function generates an orthogonal matrix Q (column-major, K < N)', function test( t ) {
+ var expected;
+ var work;
+ var data;
+ var out;
+ var tau;
+ var A;
+
+ data = COL_MAJOR_K_LT_N;
+
+ A = new Float64Array( data.A );
+ tau = new Float64Array( data.tau );
+ work = new Float64Array( data.work );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dorg2r( data.M, data.N, data.K, A, data.strideA1, data.strideA2, data.offsetA, tau, data.strideTau, data.offsetTau, work, data.strideWork, data.offsetWork );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function generates an orthogonal matrix Q (row-major, K < N)', function test( t ) {
+ var expected;
+ var work;
+ var data;
+ var out;
+ var tau;
+ var A;
+
+ data = ROW_MAJOR_K_LT_N;
+
+ A = new Float64Array( data.A );
+ tau = new Float64Array( data.tau );
+ work = new Float64Array( data.work );
+
+ expected = new Float64Array( data.A_out );
+
+ out = dorg2r( data.M, data.N, data.K, A, data.strideA1, data.strideA2, data.offsetA, tau, data.strideTau, data.offsetTau, work, data.strideWork, data.offsetWork );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns the input matrix unchanged if `N` <= 0', function test( t ) {
+ var expected;
+ var work;
+ var out;
+ var tau;
+ var A;
+
+ A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ tau = new Float64Array( [ 0.0, 0.0 ] );
+ work = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
+
+ expected = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ out = dorg2r( 3, 0, 2, A, 1, 3, 0, tau, 1, 0, work, 1, 0 );
+ t.strictEqual( out, A, 'returns expected value' );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});