mathjs
Version:
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
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JavaScript
function factory (type, config, load, typed) {
const matrix = load(require('../../type/matrix/function/matrix'))
const latex = require('../../utils/latex')
const algorithm02 = load(require('../../type/matrix/utils/algorithm02'))
const algorithm03 = load(require('../../type/matrix/utils/algorithm03'))
const algorithm05 = load(require('../../type/matrix/utils/algorithm05'))
const algorithm11 = load(require('../../type/matrix/utils/algorithm11'))
const algorithm12 = load(require('../../type/matrix/utils/algorithm12'))
const algorithm13 = load(require('../../type/matrix/utils/algorithm13'))
const algorithm14 = load(require('../../type/matrix/utils/algorithm14'))
/**
* Calculates the modulus, the remainder of an integer division.
*
* For matrices, the function is evaluated element wise.
*
* The modulus is defined as:
*
* x - y * floor(x / y)
*
* See https://en.wikipedia.org/wiki/Modulo_operation.
*
* Syntax:
*
* math.mod(x, y)
*
* Examples:
*
* math.mod(8, 3) // returns 2
* math.mod(11, 2) // returns 1
*
* function isOdd(x) {
* return math.mod(x, 2) != 0
* }
*
* isOdd(2) // returns false
* isOdd(3) // returns true
*
* See also:
*
* divide
*
* @param {number | BigNumber | Fraction | Array | Matrix} x Dividend
* @param {number | BigNumber | Fraction | Array | Matrix} y Divisor
* @return {number | BigNumber | Fraction | Array | Matrix} Returns the remainder of `x` divided by `y`.
*/
const mod = typed('mod', {
'number, number': _mod,
'BigNumber, BigNumber': function (x, y) {
return y.isZero() ? x : x.mod(y)
},
'Fraction, Fraction': function (x, y) {
return x.mod(y)
},
'SparseMatrix, SparseMatrix': function (x, y) {
return algorithm05(x, y, mod, false)
},
'SparseMatrix, DenseMatrix': function (x, y) {
return algorithm02(y, x, mod, true)
},
'DenseMatrix, SparseMatrix': function (x, y) {
return algorithm03(x, y, mod, false)
},
'DenseMatrix, DenseMatrix': function (x, y) {
return algorithm13(x, y, mod)
},
'Array, Array': function (x, y) {
// use matrix implementation
return mod(matrix(x), matrix(y)).valueOf()
},
'Array, Matrix': function (x, y) {
// use matrix implementation
return mod(matrix(x), y)
},
'Matrix, Array': function (x, y) {
// use matrix implementation
return mod(x, matrix(y))
},
'SparseMatrix, any': function (x, y) {
return algorithm11(x, y, mod, false)
},
'DenseMatrix, any': function (x, y) {
return algorithm14(x, y, mod, false)
},
'any, SparseMatrix': function (x, y) {
return algorithm12(y, x, mod, true)
},
'any, DenseMatrix': function (x, y) {
return algorithm14(y, x, mod, true)
},
'Array, any': function (x, y) {
// use matrix implementation
return algorithm14(matrix(x), y, mod, false).valueOf()
},
'any, Array': function (x, y) {
// use matrix implementation
return algorithm14(matrix(y), x, mod, true).valueOf()
}
})
mod.toTex = {
2: `\\left(\${args[0]}${latex.operators['mod']}\${args[1]}\\right)`
}
return mod
/**
* Calculate the modulus of two numbers
* @param {number} x
* @param {number} y
* @returns {number} res
* @private
*/
function _mod (x, y) {
if (y > 0) {
// We don't use JavaScript's % operator here as this doesn't work
// correctly for x < 0 and x === 0
// see https://en.wikipedia.org/wiki/Modulo_operation
return x - y * Math.floor(x / y)
} else if (y === 0) {
return x
} else { // y < 0
// TODO: implement mod for a negative divisor
throw new Error('Cannot calculate mod for a negative divisor')
}
}
}
exports.name = 'mod'
exports.factory = factory