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Author: stdlib-bot

CHANGELOG.md

@@ -4,12 +4,13 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-12-26)
+## Unreleased (2025-12-27)
 
 <section class="features">
 
 ### Features
 
+-   [`7be3235`](https://github.com/stdlib-js/stdlib/commit/7be3235f58dab6f5a5ac11a58ddad8d5ba2fcb1a) - add `stats/strided/distances/dcosine-similarity` [(#9281)](https://github.com/stdlib-js/stdlib/pull/9281)
 -   [`9e5b1db`](https://github.com/stdlib-js/stdlib/commit/9e5b1dbcb5c122ac460507aa889a171a8f67bd2e) - add `stats/base/ndarray/stdevpn` [(#9381)](https://github.com/stdlib-js/stdlib/pull/9381)
 -   [`9a44f1a`](https://github.com/stdlib-js/stdlib/commit/9a44f1ac8a945490b8703f52c32f3aaef3ae1283) - add `stats/base/ndarray/stdevtk` [(#9382)](https://github.com/stdlib-js/stdlib/pull/9382)
 -   [`d687dfb`](https://github.com/stdlib-js/stdlib/commit/d687dfb2c5fa089b942f3a56ad668ae15ea4eec3) - add `stats/base/ndarray/sstdevch` [(#9383)](https://github.com/stdlib-js/stdlib/pull/9383)
@@ -3538,6 +3539,7 @@ A total of 560 issues were closed in this release:
 
 <details>
 
+-   [`7be3235`](https://github.com/stdlib-js/stdlib/commit/7be3235f58dab6f5a5ac11a58ddad8d5ba2fcb1a) - **feat:** add `stats/strided/distances/dcosine-similarity` [(#9281)](https://github.com/stdlib-js/stdlib/pull/9281) _(by Nakul Krishnakumar, Athan Reines, stdlib-bot)_
 -   [`9e5b1db`](https://github.com/stdlib-js/stdlib/commit/9e5b1dbcb5c122ac460507aa889a171a8f67bd2e) - **feat:** add `stats/base/ndarray/stdevpn` [(#9381)](https://github.com/stdlib-js/stdlib/pull/9381) _(by Pratik)_
 -   [`9a44f1a`](https://github.com/stdlib-js/stdlib/commit/9a44f1ac8a945490b8703f52c32f3aaef3ae1283) - **feat:** add `stats/base/ndarray/stdevtk` [(#9382)](https://github.com/stdlib-js/stdlib/pull/9382) _(by Pratik)_
 -   [`d687dfb`](https://github.com/stdlib-js/stdlib/commit/d687dfb2c5fa089b942f3a56ad668ae15ea4eec3) - **feat:** add `stats/base/ndarray/sstdevch` [(#9383)](https://github.com/stdlib-js/stdlib/pull/9383) _(by Kaustubh Patange, Athan Reines)_

strided/distances/dcosine-similarity/README.md

@@ -0,0 +1,336 @@
+<!--
+
+@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.
+
+-->
+
+# dcosineSimilarity
+
+> Compute the cosine similarity of two double-precision floating-point strided arrays.
+
+<section class="intro">
+
+The [cosine similarity][wikipedia-cosine-similarity] is defined as
+
+<!-- <equation class="equation" label="eq:cosine_similarity" align="center" raw="S_C(A, B) = \cos(\theta) = \frac{A \cdot B}{\lVert A \rVert \, \lVert B \rVert} = \frac{\sum_{i=0}^{N-1} A_i B_i}{\sqrt{\sum_{i=0}^{N-1} A_i^2} \cdot \sqrt{\sum_{i=0}^{N-1} B_i^2}}" alt="Equation for cosine similarity."> -->
+
+```math
+S_C(A, B) = \cos(\theta) = \frac{A \cdot B}{\lVert A \rVert \, \lVert B \rVert} = \frac{\sum_{i=0}^{N-1} A_i B_i}{\sqrt{\sum_{i=0}^{N-1} A_i^2} \cdot \sqrt{\sum_{i=0}^{N-1} B_i^2}}
+```
+
+<!-- </equation> -->
+
+where `A_i` and `B_i` are the _ith_ components of vectors **A** and **B**, respectively.
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var dcosineSimilarity = require( '@stdlib/stats/strided/distances/dcosine-similarity' );
+```
+
+#### dcosineSimilarity( N, x, strideX, y, strideY )
+
+Computes the cosine similarity of two double-precision floating-point strided arrays.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x = new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );
+var y = new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );
+
+var z = dcosineSimilarity( x.length, x, 1, y, 1 );
+// returns ~-0.061
+```
+
+The function has the following parameters:
+
+-   **N**: number of indexed elements.
+-   **x**: input [`Float64Array`][@stdlib/array/float64].
+-   **strideX**: stride length of `x`.
+-   **y**: input [`Float64Array`][@stdlib/array/float64].
+-   **strideY**: stride length of `y`.
+
+The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to calculate the cosine similarity of every other value in `x` and the first `N` elements of `y` in reverse order,
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var y = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
+
+var z = dcosineSimilarity( 3, x, 2, y, -1 );
+// returns ~0.878
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+<!-- eslint-disable stdlib/capitalized-comments -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+// Initial arrays...
+var x0 = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var y0 = new Float64Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+
+// Create offset views...
+var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
+
+var z = dcosineSimilarity( 3, x1, 1, y1, 1 );
+// returns ~0.982
+```
+
+#### dcosineSimilarity.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )
+
+Computes the cosine similarity of two double-precision floating-point strided arrays using alternative indexing semantics.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x = new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );
+var y = new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] );
+
+var z = dcosineSimilarity.ndarray( x.length, x, 1, 0, y, 1, 0 );
+// returns ~-0.061
+```
+
+The function has the following additional parameters:
+
+-   **offsetX**: starting index for `x`.
+-   **offsetY**: starting index for `y`.
+
+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, to calculate the cosine similarity of every other element in `x` starting from the second element with the last 3 elements in `y` in reverse order
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var y = new Float64Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+
+var z = dcosineSimilarity.ndarray( 3, x, 2, 1, y, -1, y.length-1 );
+// returns ~0.895
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If `N <= 0`, both functions return `0.0`.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var dcosineSimilarity = require( '@stdlib/stats/strided/distances/dcosine-similarity' );
+
+var opts = {
+    'dtype': 'float64'
+};
+var x = discreteUniform( 10, 0, 100, opts );
+console.log( x );
+
+var y = discreteUniform( x.length, 0, 10, opts );
+console.log( y );
+
+var out = dcosineSimilarity.ndarray( x.length, x, 1, 0, y, -1, y.length-1 );
+console.log( out );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- C interface documentation. -->
+
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/stats/strided/distances/dcosine_similarity.h"
+```
+
+#### stdlib_strided_dcosine_similarity( N, \*X, strideX, \*Y, strideY )
+
+Computes the cosine similarity of two double-precision floating-point strided arrays.
+
+```c
+const double x[] = { 4.0, 2.0, -3.0, 5.0, -1.0 };
+const double y[] = { 2.0, 6.0, -1.0, -4.0, 8.0 };
+
+double v = stdlib_strided_dcosine_similarity( 5, x, 1, y, 1 );
+// returns ~-0.061
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] double*` first input array.
+-   **strideX**: `[in] CBLAS_INT` stride length of `X`.
+-   **Y**: `[in] double*` second input array.
+-   **strideY**: `[in] CBLAS_INT` stride length of `Y`.
+
+```c
+double stdlib_strided_dcosine_similarity( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const double *Y, const CBLAS_INT strideY );
+```
+
+<!--lint disable maximum-heading-length-->
+
+#### stdlib_strided_dcosine_similarity_ndarray( N, \*X, strideX, offsetX, \*Y, strideY, offsetY )
+
+<!--lint enable maximum-heading-length-->
+
+Computes the cosine similarity of two double-precision floating-point strided arrays using alternative indexing semantics.
+
+```c
+const double x[] = { 4.0, 2.0, -3.0, 5.0, -1.0 };
+const double y[] = { 2.0, 6.0, -1.0, -4.0, 8.0 };
+
+double v = stdlib_strided_dcosine_similarity_ndarray( 5, x, -1, 4, y, -1, 4 );
+// returns ~0.061
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] double*` first input array.
+-   **strideX**: `[in] CBLAS_INT` stride length of `X`.
+-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+-   **Y**: `[in] double*` second input array.
+-   **strideY**: `[in] CBLAS_INT` stride length of `Y`.
+-   **offsetY**: `[in] CBLAS_INT` starting index for `Y`.
+
+```c
+double stdlib_strided_dcosine_similarity_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const double *Y, const CBLAS_INT strideY, const CBLAS_INT offsetY );
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+#include "stdlib/stats/strided/distances/dcosine_similarity.h"
+#include <stdio.h>
+
+int main( void ) {
+    // Create strided arrays:
+    const double x[] = { 1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0 };
+    const double y[] = { 1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0 };
+
+    // Specify the number of elements:
+    const int N = 8;
+
+    // Specify strides:
+    const int strideX = 1;
+    const int strideY = -1;
+
+    // Compute the cosine similarity of `x` and `y`:
+    double sim = stdlib_strided_dcosine_similarity( N, x, strideX, y, strideY );
+
+    // Print the result:
+    printf( "cosine similarity: %lf\n", sim );
+
+    // Compute the cosine similarity of `x` and `y` with offsets:
+    sim = stdlib_strided_dcosine_similarity_ndarray( N, x, strideX, 0, y, strideY, N-1 );
+
+    // Print the result:
+    printf( "cosine similarity: %lf\n", sim );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+[@stdlib/array/float64]: https://github.com/stdlib-js/array-float64
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+[wikipedia-cosine-similarity]: https://en.wikipedia.org/wiki/Cosine_similarity
+
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
+</section>
+
+<!-- /.links -->