118 lines
3.8 KiB
JavaScript
118 lines
3.8 KiB
JavaScript
import { factory } from '../../utils/factory.js';
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import { createAlgorithm02 } from '../../type/matrix/utils/algorithm02.js';
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import { createAlgorithm03 } from '../../type/matrix/utils/algorithm03.js';
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import { createAlgorithm07 } from '../../type/matrix/utils/algorithm07.js';
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import { createAlgorithm11 } from '../../type/matrix/utils/algorithm11.js';
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import { createAlgorithm12 } from '../../type/matrix/utils/algorithm12.js';
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import { createAlgorithm13 } from '../../type/matrix/utils/algorithm13.js';
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import { createAlgorithm14 } from '../../type/matrix/utils/algorithm14.js';
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var name = 'dotDivide';
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var dependencies = ['typed', 'matrix', 'equalScalar', 'divideScalar', 'DenseMatrix'];
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export var createDotDivide = /* #__PURE__ */factory(name, dependencies, _ref => {
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var {
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typed,
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matrix,
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equalScalar,
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divideScalar,
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DenseMatrix
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} = _ref;
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var algorithm02 = createAlgorithm02({
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typed,
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equalScalar
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});
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var algorithm03 = createAlgorithm03({
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typed
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});
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var algorithm07 = createAlgorithm07({
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typed,
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DenseMatrix
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});
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var algorithm11 = createAlgorithm11({
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typed,
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equalScalar
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});
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var algorithm12 = createAlgorithm12({
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typed,
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DenseMatrix
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});
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var algorithm13 = createAlgorithm13({
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typed
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});
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var algorithm14 = createAlgorithm14({
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typed
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});
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/**
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* Divide two matrices element wise. The function accepts both matrices and
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* scalar values.
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*
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* Syntax:
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*
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* math.dotDivide(x, y)
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*
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* Examples:
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*
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* math.dotDivide(2, 4) // returns 0.5
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*
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* a = [[9, 5], [6, 1]]
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* b = [[3, 2], [5, 2]]
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*
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* math.dotDivide(a, b) // returns [[3, 2.5], [1.2, 0.5]]
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* math.divide(a, b) // returns [[1.75, 0.75], [-1.75, 2.25]]
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*
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* See also:
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*
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* divide, multiply, dotMultiply
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*
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* @param {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} x Numerator
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* @param {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} y Denominator
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* @return {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} Quotient, `x ./ y`
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*/
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return typed(name, {
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'any, any': divideScalar,
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'SparseMatrix, SparseMatrix': function SparseMatrixSparseMatrix(x, y) {
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return algorithm07(x, y, divideScalar, false);
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},
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'SparseMatrix, DenseMatrix': function SparseMatrixDenseMatrix(x, y) {
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return algorithm02(y, x, divideScalar, true);
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},
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'DenseMatrix, SparseMatrix': function DenseMatrixSparseMatrix(x, y) {
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return algorithm03(x, y, divideScalar, false);
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},
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'DenseMatrix, DenseMatrix': function DenseMatrixDenseMatrix(x, y) {
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return algorithm13(x, y, divideScalar);
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},
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'Array, Array': function ArrayArray(x, y) {
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// use matrix implementation
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return this(matrix(x), matrix(y)).valueOf();
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},
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'Array, Matrix': function ArrayMatrix(x, y) {
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// use matrix implementation
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return this(matrix(x), y);
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},
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'Matrix, Array': function MatrixArray(x, y) {
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// use matrix implementation
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return this(x, matrix(y));
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},
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'SparseMatrix, any': function SparseMatrixAny(x, y) {
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return algorithm11(x, y, divideScalar, false);
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},
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'DenseMatrix, any': function DenseMatrixAny(x, y) {
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return algorithm14(x, y, divideScalar, false);
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},
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'any, SparseMatrix': function anySparseMatrix(x, y) {
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return algorithm12(y, x, divideScalar, true);
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},
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'any, DenseMatrix': function anyDenseMatrix(x, y) {
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return algorithm14(y, x, divideScalar, true);
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},
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'Array, any': function ArrayAny(x, y) {
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// use matrix implementation
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return algorithm14(matrix(x), y, divideScalar, false).valueOf();
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},
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'any, Array': function anyArray(x, y) {
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// use matrix implementation
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return algorithm14(matrix(y), x, divideScalar, true).valueOf();
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}
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});
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}); |