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mathjs

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Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with dif

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'use strict' function factory (type, config, load, typed) { const matrix = load(require('../../type/matrix/function/matrix')) const multiplyScalar = load(require('./multiplyScalar')) const latex = require('../../utils/latex') const algorithm02 = load(require('../../type/matrix/utils/algorithm02')) const algorithm09 = load(require('../../type/matrix/utils/algorithm09')) const algorithm11 = load(require('../../type/matrix/utils/algorithm11')) const algorithm13 = load(require('../../type/matrix/utils/algorithm13')) const algorithm14 = load(require('../../type/matrix/utils/algorithm14')) /** * Multiply two matrices element wise. The function accepts both matrices and * scalar values. * * Syntax: * * math.dotMultiply(x, y) * * Examples: * * math.dotMultiply(2, 4) // returns 8 * * a = [[9, 5], [6, 1]] * b = [[3, 2], [5, 2]] * * math.dotMultiply(a, b) // returns [[27, 10], [30, 2]] * math.multiply(a, b) // returns [[52, 28], [23, 14]] * * See also: * * multiply, divide, dotDivide * * @param {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} x Left hand value * @param {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} y Right hand value * @return {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} Multiplication of `x` and `y` */ const dotMultiply = typed('dotMultiply', { 'any, any': multiplyScalar, 'SparseMatrix, SparseMatrix': function (x, y) { return algorithm09(x, y, multiplyScalar, false) }, 'SparseMatrix, DenseMatrix': function (x, y) { return algorithm02(y, x, multiplyScalar, true) }, 'DenseMatrix, SparseMatrix': function (x, y) { return algorithm02(x, y, multiplyScalar, false) }, 'DenseMatrix, DenseMatrix': function (x, y) { return algorithm13(x, y, multiplyScalar) }, 'Array, Array': function (x, y) { // use matrix implementation return dotMultiply(matrix(x), matrix(y)).valueOf() }, 'Array, Matrix': function (x, y) { // use matrix implementation return dotMultiply(matrix(x), y) }, 'Matrix, Array': function (x, y) { // use matrix implementation return dotMultiply(x, matrix(y)) }, 'SparseMatrix, any': function (x, y) { return algorithm11(x, y, multiplyScalar, false) }, 'DenseMatrix, any': function (x, y) { return algorithm14(x, y, multiplyScalar, false) }, 'any, SparseMatrix': function (x, y) { return algorithm11(y, x, multiplyScalar, true) }, 'any, DenseMatrix': function (x, y) { return algorithm14(y, x, multiplyScalar, true) }, 'Array, any': function (x, y) { // use matrix implementation return algorithm14(matrix(x), y, multiplyScalar, false).valueOf() }, 'any, Array': function (x, y) { // use matrix implementation return algorithm14(matrix(y), x, multiplyScalar, true).valueOf() } }) dotMultiply.toTex = { 2: `\\left(\${args[0]}${latex.operators['dotMultiply']}\${args[1]}\\right)` } return dotMultiply } exports.name = 'dotMultiply' exports.factory = factory