diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/README.md
new file mode 100644
index 000000000000..dec99ab7088e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/README.md
@@ -0,0 +1,146 @@
+
+
+# scusumkbn
+
+> Compute the cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var scusumkbn = require( '@stdlib/blas/ext/base/ndarray/scusumkbn' );
+```
+
+#### scusumkbn( arrays )
+
+Computes the cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+var y = new ndarray( 'float32', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var initial = scalar2ndarray( 0.0, 'float32', 'row-major' );
+
+var v = scusumkbn( [ 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 scusumkbn = require( '@stdlib/blas/ext/base/ndarray/scusumkbn' );
+
+var xbuf = discreteUniform( 10, -50, 50, {
+ 'dtype': 'float32'
+});
+var x = new ndarray( 'float32', 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': 'float32'
+});
+
+var v = scusumkbn( [ x, y, initial ] );
+console.log( ndarray2array( v ) );
+```
+
+
+
+
+
+
+
+## References
+
+- Neumaier, Arnold. 1974. "Rounding Error Analysis of Some Methods for Summing Finite Sums." _Zeitschrift Für Angewandte Mathematik Und Mechanik_ 54 (1): 39–51. doi:[10.1002/zamm.19740540106][@neumaier:1974a].
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[@neumaier:1974a]: https://doi.org/10.1002/zamm.19740540106
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/benchmark/benchmark.js
new file mode 100644
index 000000000000..309f9485abb1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/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 isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+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 scusumkbn = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// 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 = scusumkbn([ x, y, initial ]);
+ if (typeof v !== 'object') {
+ b.fail('should return an ndarray');
+ }
+ }
+ b.toc();
+ if (isnanf(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/scusumkbn/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/repl.txt
new file mode 100644
index 000000000000..b329cc71a386
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/repl.txt
@@ -0,0 +1,39 @@
+
+{{alias}}( arrays )
+ Computes the cumulative sum of a one-dimensional single-precision
+ floating-point ndarray using an improved Kahan–Babuška algorithm.
+
+ 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 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] );
+ > var ybuf = new {{alias:@stdlib/array/float32}}( [ 0.0, 0.0, 0.0 ] );
+ > var dt = 'float32';
+ > 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/scusumkbn/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts
new file mode 100644
index 000000000000..62f21e64d080
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/index.d.ts
@@ -0,0 +1,59 @@
+/*
+* @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 { float32ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+*
+* @param arrays - array-like object containing an input ndarray, an output ndarray, and ndarray containing the initial sum
+* @returns output ndarray
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+* var y = new ndarray( 'float32', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var initial = scalar2ndarray( 0.0, 'float32', 'row-major' );
+*
+* var v = scusumkbn( [ 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 scusumkbn( arrays: [ float32ndarray, float32ndarray, float32ndarray ] ): float32ndarray;
+
+
+// EXPORTS //
+
+export = scusumkbn;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/docs/types/test.ts
new file mode 100644
index 000000000000..67a3cbbf6885
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/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 scusumkbn = require('./index');
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const x = zeros([ 10 ], {
+ 'dtype': 'float32'
+ });
+ const y = zeros([ 10 ], {
+ 'dtype': 'float32'
+ });
+ const initial = zeros([], {
+ 'dtype': 'float32'
+ });
+
+ scusumkbn([ x, y, initial ]); // $ExpectType float32ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ scusumkbn('10'); // $ExpectError
+ scusumkbn(10); // $ExpectError
+ scusumkbn(true); // $ExpectError
+ scusumkbn(false); // $ExpectError
+ scusumkbn(null); // $ExpectError
+ scusumkbn(undefined); // $ExpectError
+ scusumkbn([]); // $ExpectError
+ scusumkbn({}); // $ExpectError
+ scusumkbn((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': 'float32'
+ });
+ const y = zeros([ 10 ], {
+ 'dtype': 'float32'
+ });
+ const initial = zeros([], {
+ 'dtype': 'float32'
+ });
+
+ scusumkbn(); // $ExpectError
+ scusumkbn([ x, y, initial ], {}); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/examples/index.js
new file mode 100644
index 000000000000..5e5d278e5a17
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/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 scusumkbn = require( './../lib' );
+
+var xbuf = discreteUniform(10, -50, 50, {
+ 'dtype': 'float32'
+});
+var x = new ndarray('float32', 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': 'float32'
+});
+
+var v = scusumkbn([ x, y, initial ]);
+console.log(ndarray2array(v));
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js
new file mode 100644
index 000000000000..16a371681f40
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/index.js
@@ -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.
+*/
+
+'use strict';
+
+/**
+* Compute the cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+*
+* @module @stdlib/blas/ext/base/ndarray/scusumkbn
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+* var scusumkbn = require( '@stdlib/blas/ext/base/ndarray/scusumkbn' );
+*
+* var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+* var y = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var initial = scalar2ndarray( 0.0, 'float32', 'row-major' );
+*
+* var v = scusumkbn( [ 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/scusumkbn/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
new file mode 100644
index 000000000000..71c5ae4480fb
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scusumkbn/lib/main.js
@@ -0,0 +1,73 @@
+/**
+* @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/scusumkbn' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
+*
+* @param {ArrayLikeObject