assert-is-skew-centrosymmetric-matrix

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说明:  测试值是否是斜中心对称矩阵。
(Test if a value is a skew-centrosymmetric matrix.)

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# isSkewCentrosymmetricMatrix [![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] > Test if a value is a [skew-centrosymmetric matrix][centrosymmetric-matrix].
## Installation ```bash npm install @stdlib/assert-is-skew-centrosymmetric-matrix ``` 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` branch][esm-url]. - If you are using Deno, visit the [`deno` branch][deno-url]. - For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd` branch][umd-url]. The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.
## Usage ```javascript var isSkewCentrosymmetricMatrix = require( '@stdlib/assert-is-skew-centrosymmetric-matrix' ); ``` #### isSkewCentrosymmetricMatrix( value ) Tests if a value is a [skew-centrosymmetric matrix][centrosymmetric-matrix]. ```javascript var ndarray = require( '@stdlib/ndarray-ctor' ); var buffer = [ 1, 2, 3, 4, 0, -4, -3, -2, -1 ]; var arr = ndarray( 'generic', buffer, [ 3, 3 ], [ 3, 1 ], 0, 'row-major' ); var bool = isSkewCentrosymmetricMatrix( arr ); // returns true ```
## Examples ```javascript var ndarray = require( '@stdlib/ndarray-ctor' ); var isSkewCentrosymmetricMatrix = require( '@stdlib/assert-is-skew-centrosymmetric-matrix' ); var arr = ndarray( 'generic', [ 2, 1, -1, -2 ], [ 2, 2 ], [ 2, 1 ], 0, 'row-major' ); var out = isSkewCentrosymmetricMatrix( arr ); // returns true out = isSkewCentrosymmetricMatrix( [ 1, 2, 3, 4 ] ); // returns false out = isSkewCentrosymmetricMatrix( {} ); // returns false out = isSkewCentrosymmetricMatrix( null ); // returns false ```
* * * ## 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 © 2016-2023. The Stdlib [Authors][stdlib-authors].

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