main.js (1880B)
1 /** 2 * @license Apache-2.0 3 * 4 * Copyright (c) 2018 The Stdlib Authors. 5 * 6 * Licensed under the Apache License, Version 2.0 (the "License"); 7 * you may not use this file except in compliance with the License. 8 * You may obtain a copy of the License at 9 * 10 * http://www.apache.org/licenses/LICENSE-2.0 11 * 12 * Unless required by applicable law or agreed to in writing, software 13 * distributed under the License is distributed on an "AS IS" BASIS, 14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 15 * See the License for the specific language governing permissions and 16 * limitations under the License. 17 */ 18 19 'use strict'; 20 21 // MODULES // 22 23 var isSquareMatrix = require( './../../is-square-matrix' ); 24 25 26 // MAIN // 27 28 /** 29 * Tests if a value is a skew-symmetric matrix. 30 * 31 * ## Notes 32 * 33 * - The implementation must rely on manually checking that \\(M_{ij} = -M_{ji}\\), and, while element access is deterministic, no way exists to prevent cache misses outside of reordering the underlying matrix elements, thus incurring a larger performance penalty than just "jumping around" in a single pass. 34 * - Worst case scenario: O(N^2). 35 * 36 * @param {*} v - value to test 37 * @returns {boolean} boolean indicating if a value is a skew-symmetric matrix 38 * 39 * @example 40 * var ndarray = require( '@stdlib/ndarray/ctor' ); 41 * 42 * var arr = ndarray( 'generic', [ 0, -1, 1, 0 ], [ 2, 2 ], [ 2, 1 ], 0, 'row-major' ); 43 * var bool = isSkewSymmetricMatrix( arr ); 44 * // returns true 45 * 46 * bool = isSkewSymmetricMatrix( [] ); 47 * // returns false 48 */ 49 function isSkewSymmetricMatrix( v ) { 50 var M; 51 var i; 52 var j; 53 if ( !isSquareMatrix( v ) ) { 54 return false; 55 } 56 M = v.shape[ 0 ]; 57 for ( i = 0; i < M; i++ ) { 58 for ( j = 0; j <= i; j++ ) { // includes diagonal 59 if ( v.get( i, j ) !== -v.get( j, i ) ) { 60 return false; 61 } 62 } 63 } 64 return true; 65 } 66 67 68 // EXPORTS // 69 70 module.exports = isSkewSymmetricMatrix;