simple-squiggle/node_modules/mathjs/lib/esm/function/arithmetic/dotMultiply.js

108 lines
3.5 KiB
JavaScript

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();
}
});
});