https://github.com/stdlib-js/stats-strided-smskmin
Calculate the minimum value of a single-precision floating-point strided array according to a mask.
https://github.com/stdlib-js/stats-strided-smskmin
domain extent extremes javascript mask masked masked-array math mathematics min minimum node node-js nodejs range statistics stats stdlib strided strided-array
Last synced: 2 months ago
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Calculate the minimum value of a single-precision floating-point strided array according to a mask.
- Host: GitHub
- URL: https://github.com/stdlib-js/stats-strided-smskmin
- Owner: stdlib-js
- License: apache-2.0
- Created: 2025-03-29T23:59:15.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-08-04T00:51:13.000Z (2 months ago)
- Last Synced: 2025-08-04T02:45:04.798Z (2 months ago)
- Topics: domain, extent, extremes, javascript, mask, masked, masked-array, math, mathematics, min, minimum, node, node-js, nodejs, range, statistics, stats, stdlib, strided, strided-array
- Language: JavaScript
- Homepage: https://github.com/stdlib-js/stdlib
- Size: 259 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Security: SECURITY.md
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README
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# smskmin
[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]
> Calculate the minimum value of a single-precision floating-point strided array according to a mask.
## Installation
```bash
npm install @stdlib/stats-strided-smskmin
```
Alternatively,
- To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]).
- If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions).
- For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]).
The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
## Usage
```javascript
var smskmin = require( '@stdlib/stats-strided-smskmin' );
```
#### smskmin( N, x, strideX, mask, strideMask )
Computes the minimum value of a single-precision floating-point strided array according to a mask.
```javascript
var Float32Array = require( '@stdlib/array-float32' );
var Uint8Array = require( '@stdlib/array-uint8' );
var x = new Float32Array( [ 1.0, -2.0, -4.0, 2.0 ] );
var mask = new Uint8Array( [ 0, 0, 1, 0 ] );
var v = smskmin( x.length, x, 1, mask, 1 );
// returns -2.0
```
The function has the following parameters:
- **N**: number of indexed elements.
- **x**: input [`Float32Array`][@stdlib/array/float32].
- **strideX**: stride length for `x`.
- **mask**: mask [`Uint8Array`][@stdlib/array/uint8]. If a `mask` array element is `0`, the corresponding element in `x` is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in `x` is considered invalid/missing and **excluded** from computation.
- **strideMask**: stride length for `mask`.
The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the minimum value of every other element in `x`,
```javascript
var Float32Array = require( '@stdlib/array-float32' );
var Uint8Array = require( '@stdlib/array-uint8' );
var x = new Float32Array( [ 1.0, 2.0, 7.0, -2.0, -4.0, 3.0, -5.0, -6.0 ] );
var mask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );
var v = smskmin( 4, x, 2, mask, 2 );
// returns -4.0
```
Note that indexing is relative to the first index. To introduce offsets, use [`typed array`][mdn-typed-array] views.
```javascript
var Float32Array = require( '@stdlib/array-float32' );
var Uint8Array = require( '@stdlib/array-uint8' );
var x0 = new Float32Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, -5.0, -6.0 ] );
var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var mask0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );
var mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var v = smskmin( 4, x1, 2, mask1, 2 );
// returns -2.0
```
#### smskmin.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask )
Computes the minimum value of a single-precision floating-point strided array according to a mask and using alternative indexing semantics.
```javascript
var Float32Array = require( '@stdlib/array-float32' );
var Uint8Array = require( '@stdlib/array-uint8' );
var x = new Float32Array( [ 1.0, -2.0, -4.0, 2.0 ] );
var mask = new Uint8Array( [ 0, 0, 1, 0 ] );
var v = smskmin.ndarray( x.length, x, 1, 0, mask, 1, 0 );
// returns -2.0
```
The function has the following additional parameters:
- **offsetX**: starting index for `x`.
- **offsetMask**: starting index for `mask`.
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 minimum value for every other element in `x` starting from the second element
```javascript
var Float32Array = require( '@stdlib/array-float32' );
var Uint8Array = require( '@stdlib/array-uint8' );
var x = new Float32Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, -5.0, -6.0 ] );
var mask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );
var v = smskmin.ndarray( 4, x, 2, 1, mask, 2, 1 );
// returns -2.0
```
## Notes
- If `N <= 0`, both functions return `NaN`.
## Examples
```javascript
var uniform = require( '@stdlib/random-array-uniform' );
var bernoulli = require( '@stdlib/random-array-bernoulli' );
var smskmin = require( '@stdlib/stats-strided-smskmin' );
var uniformOptions = {
'dtype': 'float32'
};
var bernoulliOptions = {
'dtype': 'uint8'
};
var x = uniform( 10, -50.0, 50.0, uniformOptions );
var mask = bernoulli( x.length, 0.2, bernoulliOptions );
console.log( x );
console.log( mask );
var v = smskmin( x.length, x, 1, mask, 1 );
console.log( v );
```
* * *
## C APIs
### Usage
```c
#include "stdlib/stats/strided/smskmin.h"
```
#### stdlib_strided_smskmin( N, \*X, strideX, \*Mask, strideMask )
Computes the minimum value of a single-precision floating-point strided array according to a mask.
```c
#include
const float x[] = { 1.0f, -2.0f, 2.0f };
const uint8_t mask[] = { 0, 1, 0 };
float v = stdlib_strided_smskmin( 3, x, 1, mask, 1 );
// returns 1.0f
```
The function accepts the following arguments:
- **N**: `[in] CBLAS_INT` number of indexed elements.
- **X**: `[in] float*` input array.
- **strideX**: `[in] CBLAS_INT` stride length for `X`.
- **Mask**: `[in] uint8_t*` mask array. If a `Mask` array element is `0`, the corresponding element in `X` is considered valid and included in computation. If a `Mask` array element is `1`, the corresponding element in `X` is considered invalid/missing and excluded from computation.
- **strideMask**: `[in] CBLAS_INT` stride length for `Mask`.
```c
float stdlib_strided_smskmin( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const uint8_t *Mask, const CBLAS_INT strideMask );
```
#### stdlib_strided_smskmin_ndarray( N, \*X, strideX, offsetX, \*Mask, strideMask, offsetMask )
Computes the minimum value of a single-precision floating-point strided array according to a mask and using alternative indexing semantics.
```c
#include
const float x[] = { 1.0f, -2.0f, 2.0f };
const uint8_t mask[] = { 0, 1, 0 };
float v = stdlib_strided_smskmin( 3, x, 1, 0, mask, 1, 0 );
// returns 1.0f
```
The function accepts the following arguments:
- **N**: `[in] CBLAS_INT` number of indexed elements.
- **X**: `[in] float*` input array.
- **strideX**: `[in] CBLAS_INT` stride length for `X`.
- **offsetX**: `[in] CBLAS_INT` starting index for `X`.
- **Mask**: `[in] uint8_t*` mask array. If a `Mask` array element is `0`, the corresponding element in `X` is considered valid and included in computation. If a `Mask` array element is `1`, the corresponding element in `X` is considered invalid/missing and excluded from computation.
- **strideMask**: `[in] CBLAS_INT` stride length for `Mask`.
- **offsetMask**: `[in] CBLAS_INT` starting index for `Mask`.
```c
float stdlib_strided_smskmin_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const uint8_t *Mask, const CBLAS_INT strideMask, const CBLAS_INT offsetMask );
```
### Examples
```c
#include "stdlib/stats/strided/smskmin.h"
#include
#include
int main( void ) {
// Create a strided array:
const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f };
// Create a mask array:
const uint8_t mask[] = { 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 };
// Specify the number of elements:
const int N = 5;
// Specify the stride lengths:
const int strideX = 2;
const int strideMask = 2;
// Compute the minimum value:
float v = stdlib_strided_smskmin( N, x, strideX, mask, strideMask );
// Print the result:
printf( "min: %f\n", v );
}
```
* * *
## See Also
- [`@stdlib/stats-strided/dmskmin`][@stdlib/stats/strided/dmskmin]: calculate the minimum value of a double-precision floating-point strided array according to a mask.
- [`@stdlib/stats-strided/mskmin`][@stdlib/stats/strided/mskmin]: calculate the minimum value of a strided array according to a mask.
- [`@stdlib/stats-strided/smin`][@stdlib/stats/strided/smin]: calculate the minimum value of a single-precision floating-point strided array.
- [`@stdlib/stats-strided/smskmax`][@stdlib/stats/strided/smskmax]: calculate the maximum value of a single-precision floating-point strided array according to a mask.
- [`@stdlib/stats-strided/snanmin`][@stdlib/stats/strided/snanmin]: calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.
- [`@stdlib/stats-strided/snanmskmin`][@stdlib/stats/strided/snanmskmin]: calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
* * *
## Notice
This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].
#### Community
[![Chat][chat-image]][chat-url]
---
## License
See [LICENSE][stdlib-license].
## Copyright
Copyright © 2016-2025. The Stdlib [Authors][stdlib-authors].
[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-strided-smskmin.svg
[npm-url]: https://npmjs.org/package/@stdlib/stats-strided-smskmin
[test-image]: https://github.com/stdlib-js/stats-strided-smskmin/actions/workflows/test.yml/badge.svg?branch=main
[test-url]: https://github.com/stdlib-js/stats-strided-smskmin/actions/workflows/test.yml?query=branch:main
[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-strided-smskmin/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/stats-strided-smskmin?branch=main
[chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg
[chat-url]: https://app.gitter.im/#/room/#stdlib-js_stdlib:gitter.im
[stdlib]: https://github.com/stdlib-js/stdlib
[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors
[umd]: https://github.com/umdjs/umd
[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules
[deno-url]: https://github.com/stdlib-js/stats-strided-smskmin/tree/deno
[deno-readme]: https://github.com/stdlib-js/stats-strided-smskmin/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/stats-strided-smskmin/tree/umd
[umd-readme]: https://github.com/stdlib-js/stats-strided-smskmin/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/stats-strided-smskmin/tree/esm
[esm-readme]: https://github.com/stdlib-js/stats-strided-smskmin/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/stats-strided-smskmin/blob/main/branches.md
[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-strided-smskmin/main/LICENSE
[@stdlib/array/float32]: https://github.com/stdlib-js/array-float32
[@stdlib/array/uint8]: https://github.com/stdlib-js/array-uint8
[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
[@stdlib/stats/strided/dmskmin]: https://github.com/stdlib-js/stats-strided-dmskmin
[@stdlib/stats/strided/mskmin]: https://github.com/stdlib-js/stats-strided-mskmin
[@stdlib/stats/strided/smin]: https://github.com/stdlib-js/stats-strided-smin
[@stdlib/stats/strided/smskmax]: https://github.com/stdlib-js/stats-strided-smskmax
[@stdlib/stats/strided/snanmin]: https://github.com/stdlib-js/stats-strided-snanmin
[@stdlib/stats/strided/snanmskmin]: https://github.com/stdlib-js/stats-strided-snanmskmin