diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/README.md
new file mode 100644
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--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/README.md
@@ -0,0 +1,136 @@
+
+
+# dcartesianPower
+
+> Compute the Cartesian power for a double-precision floating-point ndarray.
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var dcartesianPower = require( '@stdlib/blas/ext/base/ndarray/dcartesian-power' );
+```
+
+#### dcartesianPower( arrays )
+
+Computes the Cartesian power for a double-precision floating-point ndarray.
+
+```javascript
+var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+
+var x = new Float64Vector( [ 1.0, 2.0 ] );
+var out = zeros( [ 4, 2 ], {
+ 'dtype': 'float64'
+});
+
+var k = scalar2ndarray( 2, {
+ 'dtype': 'generic'
+});
+
+var v = dcartesianPower( [ x, out, k ] );
+// returns [ [ 1.0, 1.0 ], [ 1.0, 2.0 ], [ 2.0, 1.0 ], [ 2.0, 2.0 ] ]
+
+var bool = ( v === out );
+// returns true
+```
+
+The function has the following parameters:
+
+- **arrays**: array-like object containing the following ndarrays:
+
+ - a one-dimensional input ndarray.
+ - a two-dimensional output ndarray.
+ - a zero-dimensional ndarray specifying the power.
+
+
+
+
+
+
+
+## Notes
+
+- `k`-tuples are stored as rows in the output matrix, where the `j`-th column contains the `j`-th element of each tuple.
+- For an input array of length `N`, the output array should have shape `[N^k, k]`, where `N^k` is the number of rows and `k` is the number of columns.
+- If `N <= 0` or `k <= 0`, the function returns the output ndarray unchanged.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dcartesianPower = require( '@stdlib/blas/ext/base/ndarray/dcartesian-power' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var x = discreteUniform( [ 3 ], -50, 50, opts );
+console.log( ndarray2array( x ) );
+
+var out = zeros( [ 9, 2 ], opts );
+
+var k = scalar2ndarray( 2, {
+ 'dtype': 'generic'
+});
+
+var v = dcartesianPower( [ x, out, k ] );
+console.log( ndarray2array( v ) );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/benchmark/benchmark.js
new file mode 100644
index 000000000000..df240ff63b56
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/benchmark/benchmark.js
@@ -0,0 +1,116 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var pkg = require( './../package.json' ).name;
+var dcartesianPower = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+var K = 2;
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var out;
+ var x;
+ var k;
+
+ x = uniform( [ len ], -100.0, 100.0, options );
+ out = zeros( [ pow( len, K ), K ], options );
+
+ k = scalar2ndarray( K, {
+ 'dtype': 'generic'
+ });
+
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = dcartesianPower( [ x, out, k ] );
+ if ( typeof v !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( isnan( v.get( i%pow( len, K ), i%K ) ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 3; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/docs/repl.txt
new file mode 100644
index 000000000000..88dcaf2b2a96
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/docs/repl.txt
@@ -0,0 +1,39 @@
+
+{{alias}}( arrays )
+ Computes the Cartesian power for a double-precision floating-point ndarray.
+
+ `k`-tuples are stored as rows in the output matrix, where the `j`-th column
+ contains the `j`-th element of each tuple.
+
+ For an input array of length `N`, the output array should have shape
+ [N^k, k], where `N^k` is the number of rows and `k` is the number of
+ columns.
+
+ If `N <= 0` or `k <= 0`, the function returns the output ndarray unchanged.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing the following ndarrays:
+
+ - a one-dimensional input ndarray.
+ - a two-dimensional output ndarray.
+ - a zero-dimensional ndarray specifying the power.
+
+ Returns
+ -------
+ out: ndarray
+ Output ndarray.
+
+ Examples
+ --------
+ > var x = new {{alias:@stdlib/ndarray/vector/float64}}( [ 1.0, 2.0 ] );
+ > var out = {{alias:@stdlib/ndarray/zeros}}( [ 4, 2 ], { 'dtype': 'float64' } );
+ > var k = {{alias:@stdlib/ndarray/from-scalar}}( 2, { 'dtype': 'generic' } );
+ > {{alias}}( [ x, out, k ] );
+ > out
+ [ [ 1.0, 1.0 ], [ 1.0, 2.0 ], [ 2.0, 1.0 ], [ 2.0, 2.0 ] ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/docs/types/index.d.ts
new file mode 100644
index 000000000000..4dcbfd288955
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/docs/types/index.d.ts
@@ -0,0 +1,64 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 { float64ndarray, typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the Cartesian power for a double-precision floating-point ndarray.
+*
+* ## Notes
+*
+* - The function expects the following ndarrays:
+*
+* - a one-dimensional input ndarray.
+* - a two-dimensional output ndarray.
+* - a zero-dimensional ndarray specifying the power.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns output ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0 ] );
+* var out = zeros( [ 4, 2 ], {
+* 'dtype': 'float64'
+* });
+*
+* var k = scalar2ndarray( 2, {
+* 'dtype': 'generic'
+* });
+*
+* var v = dcartesianPower( [ x, out, k ] );
+* // returns [ [ 1.0, 1.0 ], [ 1.0, 2.0 ], [ 2.0, 1.0 ], [ 2.0, 2.0 ] ]
+*
+* var bool = ( v === out );
+* // returns true
+*/
+declare function dcartesianPower( arrays: [ float64ndarray, float64ndarray, typedndarray ] ): float64ndarray;
+
+
+// EXPORTS //
+
+export = dcartesianPower;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/docs/types/test.ts
new file mode 100644
index 000000000000..a3d4756e7484
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/docs/types/test.ts
@@ -0,0 +1,70 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+import dcartesianPower = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const x = zeros( [ 2 ], {
+ 'dtype': 'float64'
+ });
+ const out = zeros( [ 4, 2 ], {
+ 'dtype': 'float64'
+ });
+ const k = scalar2ndarray( 2, {
+ 'dtype': 'generic'
+ });
+
+ dcartesianPower( [ x, out, k ] ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ dcartesianPower( '10' ); // $ExpectError
+ dcartesianPower( 10 ); // $ExpectError
+ dcartesianPower( true ); // $ExpectError
+ dcartesianPower( false ); // $ExpectError
+ dcartesianPower( null ); // $ExpectError
+ dcartesianPower( undefined ); // $ExpectError
+ dcartesianPower( [] ); // $ExpectError
+ dcartesianPower( {} ); // $ExpectError
+ dcartesianPower( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = zeros( [ 2 ], {
+ 'dtype': 'float64'
+ });
+ const out = zeros( [ 4, 2 ], {
+ 'dtype': 'float64'
+ });
+ const k = scalar2ndarray( 2, {
+ 'dtype': 'generic'
+ });
+
+ dcartesianPower(); // $ExpectError
+ dcartesianPower( [ x, out, k ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/examples/index.js
new file mode 100644
index 000000000000..869787e1a991
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/examples/index.js
@@ -0,0 +1,41 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dcartesianPower = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var x = discreteUniform( [ 3 ], -50, 50, opts );
+console.log( ndarray2array( x ) );
+
+var out = zeros( [ 9, 2 ], opts );
+
+var k = scalar2ndarray( 2, {
+ 'dtype': 'generic'
+});
+
+var v = dcartesianPower( [ x, out, k ] );
+console.log( ndarray2array( v ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/lib/index.js
new file mode 100644
index 000000000000..42e0d5535732
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/lib/index.js
@@ -0,0 +1,55 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+/**
+* Compute the Cartesian power for a double-precision floating-point ndarray.
+*
+* @module @stdlib/blas/ext/base/ndarray/dcartesian-power
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var dcartesianPower = require( '@stdlib/blas/ext/base/ndarray/dcartesian-power' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0 ] );
+* var out = zeros( [ 4, 2 ], {
+* 'dtype': 'float64'
+* });
+*
+* var k = scalar2ndarray( 2, {
+* 'dtype': 'generic'
+* });
+*
+* var v = dcartesianPower( [ x, out, k ] );
+* // returns [ [ 1.0, 1.0 ], [ 1.0, 2.0 ], [ 2.0, 1.0 ], [ 2.0, 2.0 ] ]
+*
+* var bool = ( v === out );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/lib/main.js
new file mode 100644
index 000000000000..349dbcaaf797
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-power/lib/main.js
@@ -0,0 +1,87 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStrides = require( '@stdlib/ndarray/base/strides' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var strided = require( '@stdlib/blas/ext/base/dcartesian-power' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the Cartesian power for a double-precision floating-point ndarray.
+*
+* ## Notes
+*
+* - The function expects the following ndarrays:
+*
+* - a one-dimensional input ndarray.
+* - a two-dimensional output ndarray.
+* - a zero-dimensional ndarray specifying the power.
+*
+* @param {ArrayLikeObject