mathjs/lib/esm/function/arithmetic/dotMultiply.js

import { factory } from '../../utils/factory.js';
import { createAlgorithm02 } from '../../type/matrix/utils/algorithm02.js';
import { createAlgorithm09 } from '../../type/matrix/utils/algorithm09.js';
import { createAlgorithm11 } from '../../type/matrix/utils/algorithm11.js';
import { createAlgorithm13 } from '../../type/matrix/utils/algorithm13.js';
import { createAlgorithm14 } from '../../type/matrix/utils/algorithm14.js';
var name = 'dotMultiply';
var dependencies = ['typed', 'matrix', 'equalScalar', 'multiplyScalar'];
export var createDotMultiply = /* #__PURE__ */factory(name, dependencies, (_ref) => {
  var {
    typed,
    matrix,
    equalScalar,
    multiplyScalar
  } = _ref;
  var algorithm02 = createAlgorithm02({
    typed,
    equalScalar
  });
  var algorithm09 = createAlgorithm09({
    typed,
    equalScalar
  });
  var algorithm11 = createAlgorithm11({
    typed,
    equalScalar
  });
  var algorithm13 = createAlgorithm13({
    typed
  });
  var algorithm14 = createAlgorithm14({
    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();
    }
  });
});