mathjs
Version:
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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JavaScript
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