import { factory } from '../../utils/factory.js' import { createAlgorithm02 } from '../../type/matrix/utils/algorithm02.js' import { createAlgorithm03 } from '../../type/matrix/utils/algorithm03.js' import { createAlgorithm07 } from '../../type/matrix/utils/algorithm07.js' import { createAlgorithm11 } from '../../type/matrix/utils/algorithm11.js' import { createAlgorithm12 } from '../../type/matrix/utils/algorithm12.js' import { createAlgorithm13 } from '../../type/matrix/utils/algorithm13.js' import { createAlgorithm14 } from '../../type/matrix/utils/algorithm14.js' const name = 'dotDivide' const dependencies = [ 'typed', 'matrix', 'equalScalar', 'divideScalar', 'DenseMatrix' ] export const createDotDivide = /* #__PURE__ */ factory(name, dependencies, ({ typed, matrix, equalScalar, divideScalar, DenseMatrix }) => { const algorithm02 = createAlgorithm02({ typed, equalScalar }) const algorithm03 = createAlgorithm03({ typed }) const algorithm07 = createAlgorithm07({ typed, DenseMatrix }) const algorithm11 = createAlgorithm11({ typed, equalScalar }) const algorithm12 = createAlgorithm12({ typed, DenseMatrix }) const algorithm13 = createAlgorithm13({ typed }) const algorithm14 = createAlgorithm14({ typed }) /** * Divide two matrices element wise. The function accepts both matrices and * scalar values. * * Syntax: * * math.dotDivide(x, y) * * Examples: * * math.dotDivide(2, 4) // returns 0.5 * * a = [[9, 5], [6, 1]] * b = [[3, 2], [5, 2]] * * math.dotDivide(a, b) // returns [[3, 2.5], [1.2, 0.5]] * math.divide(a, b) // returns [[1.75, 0.75], [-1.75, 2.25]] * * See also: * * divide, multiply, dotMultiply * * @param {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} x Numerator * @param {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} y Denominator * @return {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} Quotient, `x ./ y` */ return typed(name, { 'any, any': divideScalar, 'SparseMatrix, SparseMatrix': function (x, y) { return algorithm07(x, y, divideScalar, false) }, 'SparseMatrix, DenseMatrix': function (x, y) { return algorithm02(y, x, divideScalar, true) }, 'DenseMatrix, SparseMatrix': function (x, y) { return algorithm03(x, y, divideScalar, false) }, 'DenseMatrix, DenseMatrix': function (x, y) { return algorithm13(x, y, divideScalar) }, 'Array, Array': function (x, y) { // use matrix implementation return this(matrix(x), matrix(y)).valueOf() }, 'Array, Matrix': function (x, y) { // use matrix implementation return this(matrix(x), y) }, 'Matrix, Array': function (x, y) { // use matrix implementation return this(x, matrix(y)) }, 'SparseMatrix, any': function (x, y) { return algorithm11(x, y, divideScalar, false) }, 'DenseMatrix, any': function (x, y) { return algorithm14(x, y, divideScalar, false) }, 'any, SparseMatrix': function (x, y) { return algorithm12(y, x, divideScalar, true) }, 'any, DenseMatrix': function (x, y) { return algorithm14(y, x, divideScalar, true) }, 'Array, any': function (x, y) { // use matrix implementation return algorithm14(matrix(x), y, divideScalar, false).valueOf() }, 'any, Array': function (x, y) { // use matrix implementation return algorithm14(matrix(y), x, divideScalar, true).valueOf() } }) })