mathjs/lib/type/matrix/utils/algorithm14.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';

var clone = require('../../../utils/object').clone;

function factory(type, config, load, typed) {
  var DenseMatrix = type.DenseMatrix;
  /**
   * Iterates over DenseMatrix items and invokes the callback function f(Aij..z, b).
   * Callback function invoked MxN times.
   *
   * C(i,j,...z) = f(Aij..z, b)
   *
   * @param {Matrix}   a                 The DenseMatrix instance (A)
   * @param {Scalar}   b                 The Scalar value
   * @param {Function} callback          The f(Aij..z,b) operation to invoke
   * @param {boolean}  inverse           A true value indicates callback should be invoked f(b,Aij..z)
   *
   * @return {Matrix}                    DenseMatrix (C)
   *
   * https://github.com/josdejong/mathjs/pull/346#issuecomment-97659042
   */

  var algorithm14 = function algorithm14(a, b, callback, inverse) {
    // a arrays
    var adata = a._data;
    var asize = a._size;
    var adt = a._datatype; // datatype

    var dt; // callback signature to use

    var cf = callback; // process data types

    if (typeof adt === 'string') {
      // datatype
      dt = adt; // convert b to the same datatype

      b = typed.convert(b, dt); // callback

      cf = typed.find(callback, [dt, dt]);
    } // populate cdata, iterate through dimensions


    var cdata = asize.length > 0 ? _iterate(cf, 0, asize, asize[0], adata, b, inverse) : []; // c matrix

    return new DenseMatrix({
      data: cdata,
      size: clone(asize),
      datatype: dt
    });
  }; // recursive function


  function _iterate(f, level, s, n, av, bv, inverse) {
    // initialize array for this level
    var cv = []; // check we reach the last level

    if (level === s.length - 1) {
      // loop arrays in last level
      for (var i = 0; i < n; i++) {
        // invoke callback and store value
        cv[i] = inverse ? f(bv, av[i]) : f(av[i], bv);
      }
    } else {
      // iterate current level
      for (var j = 0; j < n; j++) {
        // iterate next level
        cv[j] = _iterate(f, level + 1, s, s[level + 1], av[j], bv, inverse);
      }
    }

    return cv;
  }

  return algorithm14;
}

exports.name = 'algorithm14';
exports.factory = factory;