"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.createDotMultiply = void 0; var _factory = require("../../utils/factory.js"); var _algorithm = require("../../type/matrix/utils/algorithm02.js"); var _algorithm2 = require("../../type/matrix/utils/algorithm09.js"); var _algorithm3 = require("../../type/matrix/utils/algorithm11.js"); var _algorithm4 = require("../../type/matrix/utils/algorithm13.js"); var _algorithm5 = require("../../type/matrix/utils/algorithm14.js"); var name = 'dotMultiply'; var dependencies = ['typed', 'matrix', 'equalScalar', 'multiplyScalar']; var createDotMultiply = /* #__PURE__ */(0, _factory.factory)(name, dependencies, function (_ref) { var typed = _ref.typed, matrix = _ref.matrix, equalScalar = _ref.equalScalar, multiplyScalar = _ref.multiplyScalar; var algorithm02 = (0, _algorithm.createAlgorithm02)({ typed: typed, equalScalar: equalScalar }); var algorithm09 = (0, _algorithm2.createAlgorithm09)({ typed: typed, equalScalar: equalScalar }); var algorithm11 = (0, _algorithm3.createAlgorithm11)({ typed: typed, equalScalar: equalScalar }); var algorithm13 = (0, _algorithm4.createAlgorithm13)({ typed: typed }); var algorithm14 = (0, _algorithm5.createAlgorithm14)({ typed: typed }); /** * 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` */ return typed(name, { 'any, any': multiplyScalar, 'SparseMatrix, SparseMatrix': function SparseMatrixSparseMatrix(x, y) { return algorithm09(x, y, multiplyScalar, false); }, 'SparseMatrix, DenseMatrix': function SparseMatrixDenseMatrix(x, y) { return algorithm02(y, x, multiplyScalar, true); }, 'DenseMatrix, SparseMatrix': function DenseMatrixSparseMatrix(x, y) { return algorithm02(x, y, multiplyScalar, false); }, 'DenseMatrix, DenseMatrix': function DenseMatrixDenseMatrix(x, y) { return algorithm13(x, y, multiplyScalar); }, 'Array, Array': function ArrayArray(x, y) { // use matrix implementation return this(matrix(x), matrix(y)).valueOf(); }, 'Array, Matrix': function ArrayMatrix(x, y) { // use matrix implementation return this(matrix(x), y); }, 'Matrix, Array': function MatrixArray(x, y) { // use matrix implementation return this(x, matrix(y)); }, 'SparseMatrix, any': function SparseMatrixAny(x, y) { return algorithm11(x, y, multiplyScalar, false); }, 'DenseMatrix, any': function DenseMatrixAny(x, y) { return algorithm14(x, y, multiplyScalar, false); }, 'any, SparseMatrix': function anySparseMatrix(x, y) { return algorithm11(y, x, multiplyScalar, true); }, 'any, DenseMatrix': function anyDenseMatrix(x, y) { return algorithm14(y, x, multiplyScalar, true); }, 'Array, any': function ArrayAny(x, y) { // use matrix implementation return algorithm14(matrix(x), y, multiplyScalar, false).valueOf(); }, 'any, Array': function anyArray(x, y) { // use matrix implementation return algorithm14(matrix(y), x, multiplyScalar, true).valueOf(); } }); }); exports.createDotMultiply = createDotMultiply;