--- title: Matrix Calculator localeTitle: 矩阵计算器 --- ## 矩阵计算器 矩阵计算器用于执行加法,减法或乘法。 另外,它可以执行特定于矩阵的操作,例如矩阵转置,反转或定义矩阵的等级。 Matrix由行和列(nxm)构建。在矩阵上完成的操作通常会对矩阵的维度施加一些限制。 ##### 加成: 通过添加两个**相同**尺寸的矩阵的值来完成添加。 结果是一个与原始数组尺寸相同的数组。 ```javascript // matrices a and b are represented by an array of arrays (rows of columns) function addMatrices(a, b) { // we might want to add here constraints for the same dimensions if (!Array.isArray(a) || !Array.isArray(a[0]) || !Array.isArray(b) || !Array.isArray(b[0])) { throw new Error('a, b or it\'s children is not an array'); } const result = []; for (let i = 0; i < a.length; i++) { result[i] = []; for (let j = 0; j < a[i].length; j++) { result[i][j] = a[i][j] + b[i][j]; } } return result; } ``` ##### 减法: 通过减去**相同**维度的两个矩阵的值来完成减法。 结果是一个与原始数组尺寸相同的数组。 ```javascript // matrices a and b are represented by an array of arrays (rows of columns) function subtractMatrices(a, b) { // we might want to add here constraints for the same dimensions if (!Array.isArray(a) || !Array.isArray(a[0]) || !Array.isArray(b) || !Array.isArray(b[0])) { throw new Error('a, b or it\'s children is not an array'); } const result = []; for (let i = 0; i < a.length; i++) { result[i] = []; for (let j = 0; j < a[i].length; j++) { result[i][j] = a[i][j] - b[i][j]; } } return result; } ``` ##### 乘法: 乘法可以通过将矩阵乘以标量或乘以矩阵来完成。 如果我们乘以两个矩阵,只有当左矩阵中的列数等于右矩阵中的行数时才能进行。 ```javascript // matrices a and b are represented by an array of arrays (rows of columns) function multiplyMatrices(a, b) { // we might want to add here constraints for the dimensions //let's assume that b has to be either a scalar or an array if (!Array.isArray(a) || !Array.isArray(a[0]) || ((!Array.isArray(b) || !Array.isArray(b[0])) && isNaN(b))) { throw new Error('a, b or it\'s children is not an array'); } if (!isNaN(b)) { for (let i = 0; i < a.length; i++) { for (let j = 0; j < a[i].length; j++) { a[i][j] = a[i][j] * b; } } return a; } const result = []; for (let i = 0; i < a.length; i++) { result[i] = []; for (let j = 0; j < a[i].length; j++) { let sum = 0; for (let k = 0; k < b[i].length; k++) { sum += a[i][k] * b[k][j]; } result[i][j] = sum; } } return result; } ``` #### 更多信息: https://en.wikipedia.org/wiki/Matrix\_(mathematics)