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https://github.com/josdejong/mathjs/pull/346#issuecomment-97620294\n   */\n  return function algorithm04(a, b, callback) {\n    // sparse matrix arrays\n    var avalues = a._values;\n    var aindex = a._index;\n    var aptr = a._ptr;\n    var asize = a._size;\n    var adt = a._datatype; // sparse matrix arrays\n\n    var bvalues = b._values;\n    var bindex = b._index;\n    var bptr = b._ptr;\n    var bsize = b._size;\n    var bdt = b._datatype; // validate dimensions\n\n    if (asize.length !== bsize.length) {\n      throw new DimensionError(asize.length, bsize.length);\n    } // check rows & columns\n\n\n    if (asize[0] !== bsize[0] || asize[1] !== bsize[1]) {\n      throw new RangeError('Dimension mismatch. Matrix A (' + asize + ') must match Matrix B (' + bsize + ')');\n    } // rows & columns\n\n\n    var rows = asize[0];\n    var columns = asize[1]; // datatype\n\n    var dt; // equal signature to use\n\n    var eq = equalScalar; // zero value\n\n    var zero = 0; // callback signature to use\n\n    var cf = callback; // process data types\n\n    if (typeof adt === 'string' && adt === bdt) {\n      // datatype\n      dt = adt; // find signature that matches (dt, dt)\n\n      eq = typed.find(equalScalar, [dt, dt]); // convert 0 to the same datatype\n\n      zero = typed.convert(0, dt); // callback\n\n      cf = typed.find(callback, [dt, dt]);\n    } // result arrays\n\n\n    var cvalues = avalues && bvalues ? [] : undefined;\n    var cindex = [];\n    var cptr = []; // workspace\n\n    var xa = avalues && bvalues ? [] : undefined;\n    var xb = avalues && bvalues ? [] : undefined; // marks indicating we have a value in x for a given column\n\n    var wa = [];\n    var wb = []; // vars\n\n    var i, j, k, k0, k1; // loop columns\n\n    for (j = 0; j < columns; j++) {\n      // update cptr\n      cptr[j] = cindex.length; // columns mark\n\n      var mark = j + 1; // loop A(:,j)\n\n      for (k0 = aptr[j], k1 = aptr[j + 1], k = k0; k < k1; k++) {\n        // row\n        i = aindex[k]; // update c\n\n        cindex.push(i); // update workspace\n\n        wa[i] = mark; // check we need to process values\n\n        if (xa) {\n          xa[i] = avalues[k];\n        }\n      } // loop B(:,j)\n\n\n      for (k0 = bptr[j], k1 = bptr[j + 1], k = k0; k < k1; k++) {\n        // row\n        i = bindex[k]; // check row exists in A\n\n        if (wa[i] === mark) {\n          // update record in xa @ i\n          if (xa) {\n            // invoke callback\n            var v = cf(xa[i], bvalues[k]); // check for zero\n\n            if (!eq(v, zero)) {\n              // update workspace\n              xa[i] = v;\n            } else {\n              // remove mark (index will be removed later)\n              wa[i] = null;\n            }\n          }\n        } else {\n          // update c\n          cindex.push(i); // update workspace\n\n          wb[i] = mark; // check we need to process values\n\n          if (xb) {\n            xb[i] = bvalues[k];\n          }\n        }\n      } // check we need to process values (non pattern matrix)\n\n\n      if (xa && xb) {\n        // initialize first index in j\n        k = cptr[j]; // loop index in j\n\n        while (k < cindex.length) {\n          // row\n          i = cindex[k]; // check workspace has value @ i\n\n          if (wa[i] === mark) {\n            // push value (Aij != 0 || (Aij != 0 && Bij != 0))\n            cvalues[k] = xa[i]; // increment pointer\n\n            k++;\n          } else if (wb[i] === mark) {\n            // push value (bij != 0)\n            cvalues[k] = xb[i]; // increment pointer\n\n            k++;\n          } else {\n            // remove index @ k\n            cindex.splice(k, 1);\n          }\n        }\n      }\n    } // update cptr\n\n\n    cptr[columns] = cindex.length; // return sparse matrix\n\n    return a.createSparseMatrix({\n      values: cvalues,\n      index: cindex,\n      ptr: cptr,\n      size: [rows, columns],\n      datatype: dt\n    });\n  };\n});"},"lineCount":null}},"error":null,"hash":"b9e7e287f54fa9df00f70b28f583093c","cacheData":{"env":{}}}