mathjs/src/function/arithmetic/dotDivide.js
2019-01-30 13:47:45 +01:00

120 lines
3.6 KiB
JavaScript

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