diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/README.md
new file mode 100644
index 000000000000..af0a0d30612b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/README.md
@@ -0,0 +1,145 @@
+
+
+# gcusumors
+
+> Compute the cumulative sum of a one-dimensional ndarray using ordinary recursive summation.
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var gcusumors = require( '@stdlib/blas/ext/base/ndarray/gcusumors' );
+```
+
+#### gcusumors( arrays )
+
+Computes the cumulative sum of a one-dimensional ndarray using ordinary recursive summation.
+
+```javascript
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = [ 1.0, 3.0, 4.0, 2.0 ];
+var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var ybuf = [ 0.0, 0.0, 0.0, 0.0 ];
+var y = new ndarray( 'generic', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var initial = scalar2ndarray( 0.0, 'generic', 'row-major' );
+
+var v = gcusumors( [ x, y, initial ] );
+// returns
+
+var bool = ( v === y );
+// returns true
+
+var arr = ndarray2array( v );
+// returns [ 1.0, 4.0, 8.0, 10.0 ]
+```
+
+The function has the following parameters:
+
+- **arrays**: array-like object containing a one-dimensional input ndarray, a one-dimensional output ndarray, and a zero-dimensional ndarray containing the initial sum.
+
+
+
+
+
+
+
+## Notes
+
+- If provided an empty one-dimensional input ndarray, the function returns the output ndarray unchanged.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var zerosLike = require( '@stdlib/ndarray/zeros-like' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var gcusumors = require( '@stdlib/blas/ext/base/ndarray/gcusumors' );
+
+var xbuf = discreteUniform( 10, -50, 50, {
+ 'dtype': 'generic'
+});
+var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var y = zerosLike( x );
+console.log( ndarray2array( y ) );
+
+var initial = scalar2ndarray( 100.0, {
+ 'dtype': 'generic'
+});
+
+var v = gcusumors( [ x, y, initial ] );
+console.log( ndarray2array( v ) );
+```
+
+
+
+
+
+
+
+## References
+
+- Shewchuk, Jonathan Richard. 1997. "Adaptive Precision Floating-Point Arithmetic and Fast Robust Geometric Predicates." _Discrete & Computational Geometry_ 18 (3): 305–63. doi:[10.1007/pl00009321][@shewchuk:1997a].
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[@shewchuk:1997a]: https://doi.org/10.1007/pl00009321
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/benchmark/benchmark.js
new file mode 100644
index 000000000000..42a3b47c397d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/benchmark/benchmark.js
@@ -0,0 +1,112 @@
+/**
+* @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 zeros = require( '@stdlib/array/zeros' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+var pkg = require( './../package.json' ).name;
+var gcusumors = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var initial;
+ var xbuf;
+ var ybuf;
+ var x;
+ var y;
+
+ xbuf = uniform( len, -10.0, 10.0, options );
+ x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+ initial = scalar2ndarray( 0.0, options.dtype, 'row-major' );
+
+ ybuf = zeros( len, options.dtype );
+ y = new ndarray( options.dtype, ybuf, [ len ], [ 1 ], 0, 'row-major' );
+
+ return benchmark;
+
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = gcusumors( [ x, y, initial ] );
+ if ( typeof v !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( isnan( v.get( i%len ) ) ) {
+ 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 = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( pkg+':len='+len, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/docs/repl.txt
new file mode 100644
index 000000000000..36e524427073
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/docs/repl.txt
@@ -0,0 +1,39 @@
+
+{{alias}}( arrays )
+ Computes the cumulative sum of a one-dimensional ndarray
+ using ordinary recursive summation.
+
+ If provided an empty input ndarray, the function returns the output ndarray
+ unchanged.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing a one-dimensional input ndarray, a one-
+ dimensional output ndarray, and a zero-dimensional ndarray containing
+ the initial sum.
+
+ Returns
+ -------
+ out: ndarray
+ Output ndarray.
+
+ Examples
+ --------
+ > var xbuf = [ 1.0, -2.0, 2.0 ];
+ > var ybuf = [ 0.0, 0.0, 0.0 ];
+ > var dt = 'generic';
+ > var sh = [ xbuf.length ];
+ > var st = [ 1 ];
+ > var oo = 0;
+ > var ord = 'row-major';
+ > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord );
+ > var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord );
+ > var s = {{alias:@stdlib/ndarray/from-scalar}}( 0.0, { 'dtype': dt } );
+ > {{alias}}( [ x, y, s ] );
+ > {{alias:@stdlib/ndarray/to-array}}( y )
+ [ 1.0, -1.0, 1.0 ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/docs/types/index.d.ts
new file mode 100644
index 000000000000..9390b864dc0f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/docs/types/index.d.ts
@@ -0,0 +1,58 @@
+/*
+* @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 { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the cumulative sum of a one-dimensional ndarray using ordinary recursive summation.
+*
+* @param arrays - array-like object containing an input ndarray, an output ndarray, and ndarray containing the initial sum
+* @returns output ndarray
+*
+* @example
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = [ 1.0, 3.0, 4.0, 2.0 ];
+* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var ybuf = [ 0.0, 0.0, 0.0, 0.0 ];
+* var y = new ndarray( 'generic', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var initial = scalar2ndarray( 0.0, 'generic', 'row-major' );
+*
+* var v = gcusumors( [ x, y, initial ] );
+* // returns
+*
+* var bool = ( v === y );
+* // returns true
+*
+* var arr = ndarray2array( v );
+* // returns [ 1.0, 4.0, 8.0, 10.0 ]
+*/
+declare function gcusumors = typedndarray>( arrays: [ T, T, T ] ): T;
+
+
+// EXPORTS //
+
+export = gcusumors;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/docs/types/test.ts
new file mode 100644
index 000000000000..e4f15681304a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/docs/types/test.ts
@@ -0,0 +1,69 @@
+/*
+* @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 space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import gcusumors = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const x1 = zeros( [ 10 ], {
+ 'dtype': 'float64'
+ });
+ const y1 = zeros( [ 10 ], {
+ 'dtype': 'float64'
+ });
+ const initial1 = zeros( [], {
+ 'dtype': 'float64'
+ });
+
+ gcusumors( [ x1, y1, initial1 ] ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ gcusumors( '10' ); // $ExpectError
+ gcusumors( 10 ); // $ExpectError
+ gcusumors( true ); // $ExpectError
+ gcusumors( false ); // $ExpectError
+ gcusumors( null ); // $ExpectError
+ gcusumors( undefined ); // $ExpectError
+ gcusumors( [] ); // $ExpectError
+ gcusumors( {} ); // $ExpectError
+ gcusumors( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float64'
+ });
+ const y = zeros( [ 10 ], {
+ 'dtype': 'float64'
+ });
+ const initial = zeros( [], {
+ 'dtype': 'float64'
+ });
+
+ gcusumors(); // $ExpectError
+ gcusumors( [ x, y, initial ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/examples/index.js
new file mode 100644
index 000000000000..d74f691a0995
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/examples/index.js
@@ -0,0 +1,42 @@
+/**
+* @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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var zerosLike = require( '@stdlib/ndarray/zeros-like' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var gcusumors = require( './../lib' );
+
+var xbuf = discreteUniform( 10, -50, 50, {
+ 'dtype': 'generic'
+});
+var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var y = zerosLike( x );
+console.log( ndarray2array( y ) );
+
+var initial = scalar2ndarray( 100.0, {
+ 'dtype': 'generic'
+});
+
+var v = gcusumors( [ x, y, initial ] );
+console.log( ndarray2array( v ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/lib/index.js
new file mode 100644
index 000000000000..05a56843eb37
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/lib/index.js
@@ -0,0 +1,57 @@
+/**
+* @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';
+
+/**
+* Compute the cumulative sum of a one-dimensional ndarray using ordinary recursive summation.
+*
+* @module @stdlib/blas/ext/base/ndarray/gcusumors
+*
+* @example
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+* var gcusumors = require( '@stdlib/blas/ext/base/ndarray/gcusumors' );
+*
+* var xbuf = [ 1.0, 3.0, 4.0, 2.0 ];
+* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var ybuf = [ 0.0, 0.0, 0.0, 0.0 ];
+* var y = new ndarray( 'generic', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var initial = scalar2ndarray( 0.0, 'generic', 'row-major' );
+*
+* var v = gcusumors( [ x, y, initial ] );
+* // returns
+*
+* var bool = ( v === y );
+* // returns true
+*
+* var arr = ndarray2array( v );
+* // returns [ 1.0, 4.0, 8.0, 10.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/lib/main.js
new file mode 100644
index 000000000000..7afe3122d899
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gcusumors/lib/main.js
@@ -0,0 +1,72 @@
+/**
+* @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 numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var strided = require( '@stdlib/blas/ext/base/gcusumors' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the cumulative sum of a one-dimensional ndarray using ordinary recursive summation.
+*
+* @param {ArrayLikeObject