mathjs/lib/function/arithmetic/dotPow.js

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

'use strict';

function factory(type, config, load, typed) {
  var matrix = load(require('../../type/matrix/function/matrix'));
  var pow = load(require('./pow'));

  var latex = require('../../utils/latex');

  var algorithm03 = load(require('../../type/matrix/utils/algorithm03'));
  var algorithm07 = load(require('../../type/matrix/utils/algorithm07'));
  var algorithm11 = load(require('../../type/matrix/utils/algorithm11'));
  var algorithm12 = load(require('../../type/matrix/utils/algorithm12'));
  var algorithm13 = load(require('../../type/matrix/utils/algorithm13'));
  var algorithm14 = load(require('../../type/matrix/utils/algorithm14'));
  /**
   * Calculates the power of x to y element wise.
   *
   * Syntax:
   *
   *    math.dotPow(x, y)
   *
   * Examples:
   *
   *    math.dotPow(2, 3)            // returns number 8
   *
   *    const a = [[1, 2], [4, 3]]
   *    math.dotPow(a, 2)            // returns Array [[1, 4], [16, 9]]
   *    math.pow(a, 2)               // returns Array [[9, 8], [16, 17]]
   *
   * See also:
   *
   *    pow, sqrt, multiply
   *
   * @param  {number | BigNumber | Complex | Unit | Array | Matrix} x  The base
   * @param  {number | BigNumber | Complex | Unit | Array | Matrix} y  The exponent
   * @return {number | BigNumber | Complex | Unit | Array | Matrix}                     The value of `x` to the power `y`
   */

  var dotPow = typed('dotPow', {
    'any, any': pow,
    'SparseMatrix, SparseMatrix': function SparseMatrixSparseMatrix(x, y) {
      return algorithm07(x, y, pow, false);
    },
    'SparseMatrix, DenseMatrix': function SparseMatrixDenseMatrix(x, y) {
      return algorithm03(y, x, pow, true);
    },
    'DenseMatrix, SparseMatrix': function DenseMatrixSparseMatrix(x, y) {
      return algorithm03(x, y, pow, false);
    },
    'DenseMatrix, DenseMatrix': function DenseMatrixDenseMatrix(x, y) {
      return algorithm13(x, y, pow);
    },
    'Array, Array': function ArrayArray(x, y) {
      // use matrix implementation
      return dotPow(matrix(x), matrix(y)).valueOf();
    },
    'Array, Matrix': function ArrayMatrix(x, y) {
      // use matrix implementation
      return dotPow(matrix(x), y);
    },
    'Matrix, Array': function MatrixArray(x, y) {
      // use matrix implementation
      return dotPow(x, matrix(y));
    },
    'SparseMatrix, any': function SparseMatrixAny(x, y) {
      return algorithm11(x, y, dotPow, false);
    },
    'DenseMatrix, any': function DenseMatrixAny(x, y) {
      return algorithm14(x, y, dotPow, false);
    },
    'any, SparseMatrix': function anySparseMatrix(x, y) {
      return algorithm12(y, x, dotPow, true);
    },
    'any, DenseMatrix': function anyDenseMatrix(x, y) {
      return algorithm14(y, x, dotPow, true);
    },
    'Array, any': function ArrayAny(x, y) {
      // use matrix implementation
      return algorithm14(matrix(x), y, dotPow, false).valueOf();
    },
    'any, Array': function anyArray(x, y) {
      // use matrix implementation
      return algorithm14(matrix(y), x, dotPow, true).valueOf();
    }
  });
  dotPow.toTex = {
    2: "\\left(${args[0]}".concat(latex.operators['dotPow'], "${args[1]}\\right)")
  };
  return dotPow;
}

exports.name = 'dotPow';
exports.factory = factory;