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mathjs

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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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'use strict' const deepMap = require('../../utils/collection/deepMap') const isInteger = require('../../utils/number').isInteger function factory (type, config, load, typed) { const multiply = load(require('../arithmetic/multiply')) const pow = load(require('../arithmetic/pow')) const product = require('./product') /** * Compute the gamma function of a value using Lanczos approximation for * small values, and an extended Stirling approximation for large values. * * For matrices, the function is evaluated element wise. * * Syntax: * * math.gamma(n) * * Examples: * * math.gamma(5) // returns 24 * math.gamma(-0.5) // returns -3.5449077018110335 * math.gamma(math.i) // returns -0.15494982830180973 - 0.49801566811835596i * * See also: * * combinations, factorial, permutations * * @param {number | Array | Matrix} n A real or complex number * @return {number | Array | Matrix} The gamma of `n` */ const gamma = typed('gamma', { 'number': function (n) { let t, x if (isInteger(n)) { if (n <= 0) { return isFinite(n) ? Infinity : NaN } if (n > 171) { return Infinity // Will overflow } return product(1, n - 1) } if (n < 0.5) { return Math.PI / (Math.sin(Math.PI * n) * gamma(1 - n)) } if (n >= 171.35) { return Infinity // will overflow } if (n > 85.0) { // Extended Stirling Approx const twoN = n * n const threeN = twoN * n const fourN = threeN * n const fiveN = fourN * n return Math.sqrt(2 * Math.PI / n) * Math.pow((n / Math.E), n) * (1 + 1 / (12 * n) + 1 / (288 * twoN) - 139 / (51840 * threeN) - 571 / (2488320 * fourN) + 163879 / (209018880 * fiveN) + 5246819 / (75246796800 * fiveN * n)) } --n x = p[0] for (let i = 1; i < p.length; ++i) { x += p[i] / (n + i) } t = n + g + 0.5 return Math.sqrt(2 * Math.PI) * Math.pow(t, n + 0.5) * Math.exp(-t) * x }, 'Complex': function (n) { let t, x if (n.im === 0) { return gamma(n.re) } n = new type.Complex(n.re - 1, n.im) x = new type.Complex(p[0], 0) for (let i = 1; i < p.length; ++i) { const real = n.re + i // x += p[i]/(n+i) const den = real * real + n.im * n.im if (den !== 0) { x.re += p[i] * real / den x.im += -(p[i] * n.im) / den } else { x.re = p[i] < 0 ? -Infinity : Infinity } } t = new type.Complex(n.re + g + 0.5, n.im) const twoPiSqrt = Math.sqrt(2 * Math.PI) n.re += 0.5 const result = pow(t, n) if (result.im === 0) { // sqrt(2*PI)*result result.re *= twoPiSqrt } else if (result.re === 0) { result.im *= twoPiSqrt } else { result.re *= twoPiSqrt result.im *= twoPiSqrt } const r = Math.exp(-t.re) // exp(-t) t.re = r * Math.cos(-t.im) t.im = r * Math.sin(-t.im) return multiply(multiply(result, t), x) }, 'BigNumber': function (n) { if (n.isInteger()) { return (n.isNegative() || n.isZero()) ? new type.BigNumber(Infinity) : bigFactorial(n.minus(1)) } if (!n.isFinite()) { return new type.BigNumber(n.isNegative() ? NaN : Infinity) } throw new Error('Integer BigNumber expected') }, 'Array | Matrix': function (n) { return deepMap(n, gamma) } }) /** * Calculate factorial for a BigNumber * @param {BigNumber} n * @returns {BigNumber} Returns the factorial of n */ function bigFactorial (n) { if (n.isZero()) { return new type.BigNumber(1) // 0! is per definition 1 } const precision = config.precision + (Math.log(n.toNumber()) | 0) const Big = type.BigNumber.clone({ precision: precision }) let res = new Big(n) let value = n.toNumber() - 1 // number while (value > 1) { res = res.times(value) value-- } return new type.BigNumber(res.toPrecision(type.BigNumber.precision)) } gamma.toTex = { 1: `\\Gamma\\left(\${args[0]}\\right)` } return gamma } // TODO: comment on the variables g and p const g = 4.7421875 const p = [ 0.99999999999999709182, 57.156235665862923517, -59.597960355475491248, 14.136097974741747174, -0.49191381609762019978, 0.33994649984811888699e-4, 0.46523628927048575665e-4, -0.98374475304879564677e-4, 0.15808870322491248884e-3, -0.21026444172410488319e-3, 0.21743961811521264320e-3, -0.16431810653676389022e-3, 0.84418223983852743293e-4, -0.26190838401581408670e-4, 0.36899182659531622704e-5 ] exports.name = 'gamma' exports.factory = factory