/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.commons.math3.special; import org.apache.commons.math3.TestUtils; import org.apache.commons.math3.exception.NumberIsTooLargeException; import org.apache.commons.math3.exception.NumberIsTooSmallException; import org.apache.commons.math3.util.FastMath; import org.junit.Assert; import org.junit.Test; /** */ public class GammaTest { private void testRegularizedGamma(double expected, double a, double x) { double actualP = Gamma.regularizedGammaP(a, x); double actualQ = Gamma.regularizedGammaQ(a, x); TestUtils.assertEquals(expected, actualP, 10e-15); TestUtils.assertEquals(actualP, 1.0 - actualQ, 10e-15); } private void testLogGamma(double expected, double x) { double actual = Gamma.logGamma(x); TestUtils.assertEquals(expected, actual, 10e-15); } @Test public void testRegularizedGammaNanPositive() { testRegularizedGamma(Double.NaN, Double.NaN, 1.0); } @Test public void testRegularizedGammaPositiveNan() { testRegularizedGamma(Double.NaN, 1.0, Double.NaN); } @Test public void testRegularizedGammaNegativePositive() { testRegularizedGamma(Double.NaN, -1.5, 1.0); } @Test public void testRegularizedGammaPositiveNegative() { testRegularizedGamma(Double.NaN, 1.0, -1.0); } @Test public void testRegularizedGammaZeroPositive() { testRegularizedGamma(Double.NaN, 0.0, 1.0); } @Test public void testRegularizedGammaPositiveZero() { testRegularizedGamma(0.0, 1.0, 0.0); } @Test public void testRegularizedGammaPositivePositive() { testRegularizedGamma(0.632120558828558, 1.0, 1.0); } @Test public void testLogGammaNan() { testLogGamma(Double.NaN, Double.NaN); } @Test public void testLogGammaNegative() { testLogGamma(Double.NaN, -1.0); } @Test public void testLogGammaZero() { testLogGamma(Double.NaN, 0.0); } @Test public void testLogGammaPositive() { testLogGamma(0.6931471805599457, 3.0); } @Test public void testDigammaLargeArgs() { double eps = 1e-8; Assert.assertEquals(4.6001618527380874002, Gamma.digamma(100), eps); Assert.assertEquals(3.9019896734278921970, Gamma.digamma(50), eps); Assert.assertEquals(2.9705239922421490509, Gamma.digamma(20), eps); Assert.assertEquals(2.9958363947076465821, Gamma.digamma(20.5), eps); Assert.assertEquals(2.2622143570941481605, Gamma.digamma(10.1), eps); Assert.assertEquals(2.1168588189004379233, Gamma.digamma(8.8), eps); Assert.assertEquals(1.8727843350984671394, Gamma.digamma(7), eps); Assert.assertEquals(0.42278433509846713939, Gamma.digamma(2), eps); Assert.assertEquals(-100.56088545786867450, Gamma.digamma(0.01), eps); Assert.assertEquals(-4.0390398965921882955, Gamma.digamma(-0.8), eps); Assert.assertEquals(4.2003210041401844726, Gamma.digamma(-6.3), eps); } @Test public void testDigammaSmallArgs() { // values for negative powers of 10 from 1 to 30 as computed by webMathematica with 20 digits // see functions.wolfram.com double[] expected = {-10.423754940411076795, -100.56088545786867450, -1000.5755719318103005, -10000.577051183514335, -100000.57719921568107, -1.0000005772140199687e6, -1.0000000577215500408e7, -1.0000000057721564845e8, -1.0000000005772156633e9, -1.0000000000577215665e10, -1.0000000000057721566e11, -1.0000000000005772157e12, -1.0000000000000577216e13, -1.0000000000000057722e14, -1.0000000000000005772e15, -1e+16, -1e+17, -1e+18, -1e+19, -1e+20, -1e+21, -1e+22, -1e+23, -1e+24, -1e+25, -1e+26, -1e+27, -1e+28, -1e+29, -1e+30}; for (double n = 1; n < 30; n++) { checkRelativeError(String.format("Test %.0f: ", n), expected[(int) (n - 1)], Gamma.digamma(FastMath.pow(10.0, -n)), 1e-8); } } @Test public void testTrigamma() { double eps = 1e-8; // computed using webMathematica. For example, to compute trigamma($i) = Polygamma(1, $i), use // // http://functions.wolfram.com/webMathematica/Evaluated.jsp?name=PolyGamma2&plottype=0&vars={%221%22,%22$i%22}&digits=20 double[] data = { 1e-4, 1.0000000164469368793e8, 1e-3, 1.0000016425331958690e6, 1e-2, 10001.621213528313220, 1e-1, 101.43329915079275882, 1, 1.6449340668482264365, 2, 0.64493406684822643647, 3, 0.39493406684822643647, 4, 0.28382295573711532536, 5, 0.22132295573711532536, 10, 0.10516633568168574612, 20, 0.051270822935203119832, 50, 0.020201333226697125806, 100, 0.010050166663333571395 }; for (int i = data.length - 2; i >= 0; i -= 2) { Assert.assertEquals(String.format("trigamma %.0f", data[i]), data[i + 1], Gamma.trigamma(data[i]), eps); } } /** * Reference data for the {@link Gamma#logGamma(double)} function. This data * was generated with the following <a * href="http://maxima.sourceforge.net/">Maxima</a> script. * * <pre> * kill(all); * * fpprec : 64; * gamln(x) := log(gamma(x)); * x : append(makelist(bfloat(i / 8), i, 1, 80), * [0.8b0, 1b2, 1b3, 1b4, 1b5, 1b6, 1b7, 1b8, 1b9, 1b10]); * * for i : 1 while i <= length(x) do * print("{", float(x[i]), ",", float(gamln(x[i])), "},"); * </pre> */ private static final double[][] LOG_GAMMA_REF = { { 0.125 , 2.019418357553796 }, { 0.25 , 1.288022524698077 }, { 0.375 , .8630739822706475 }, { 0.5 , .5723649429247001 }, { 0.625 , .3608294954889402 }, { 0.75 , .2032809514312954 }, { 0.875 , .08585870722533433 }, { 0.890625 , .07353860936979656 }, { 0.90625 , .06169536624059108 }, { 0.921875 , .05031670080005688 }, { 0.9375 , 0.0393909017345823 }, { 0.953125 , .02890678734595923 }, { 0.96875 , .01885367233441289 }, { 0.984375 , .009221337197578781 }, { 1.0 , 0.0 }, { 1.015625 , - 0.00881970970573307 }, { 1.03125 , - .01724677500176807 }, { 1.046875 , - .02528981394675729 }, { 1.0625 , - .03295710029357782 }, { 1.078125 , - .04025658272400143 }, { 1.09375 , - .04719590272716985 }, { 1.109375 , - .05378241123619192 }, { 1.125 , - .06002318412603958 }, { 1.25 , - .09827183642181316 }, { 1.375 , - .1177552707410788 }, { 1.5 , - .1207822376352452 }, { 1.625 , - .1091741337567954 }, { 1.75 , - .08440112102048555 }, { 1.875 , - 0.0476726853991883 }, { 1.890625 , - .04229320615532515 }, { 1.90625 , - .03674470657266143 }, { 1.921875 , - .03102893865389552 }, { 1.9375 , - .02514761940298887 }, { 1.953125 , - .01910243184040138 }, { 1.96875 , - .01289502598016741 }, { 1.984375 , - .006527019770560387 }, { 2.0 , 0.0 }, { 2.015625 , .006684476830232185 }, { 2.03125 , .01352488366498562 }, { 2.046875 , .02051972208453692 }, { 2.0625 , .02766752152285702 }, { 2.078125 , 0.0349668385135861 }, { 2.09375 , .04241625596251728 }, { 2.109375 , .05001438244545164 }, { 2.125 , .05775985153034387 }, { 2.25 , .1248717148923966 }, { 2.375 , .2006984603774558 }, { 2.5 , .2846828704729192 }, { 2.625 , .3763336820249054 }, { 2.75 , .4752146669149371 }, { 2.875 , .5809359740231859 }, { 2.890625 , .5946142560817441 }, { 2.90625 , .6083932548009232 }, { 2.921875 , .6222723333588501 }, { 2.9375 , .6362508628423761 }, { 2.953125 , .6503282221022278 }, { 2.96875 , .6645037976116387 }, { 2.984375 , 0.678776983328359 }, { 3.0 , .6931471805599453 }, { 3.015625 , .7076137978322324 }, { 3.03125 , .7221762507608962 }, { 3.046875 , .7368339619260166 }, { 3.0625 , 0.751586360749556 }, { 3.078125 , .7664328833756681 }, { 3.09375 , .7813729725537568 }, { 3.109375 , .7964060775242092 }, { 3.125 , 0.811531653906724 }, { 3.25 , .9358019311087253 }, { 3.375 , 1.06569589786406 }, { 3.5 , 1.200973602347074 }, { 3.625 , 1.341414578068493 }, { 3.75 , 1.486815578593417 }, { 3.875 , 1.6369886482725 }, { 4.0 , 1.791759469228055 }, { 4.125 , 1.950965937095089 }, { 4.25 , 2.114456927450371 }, { 4.375 , 2.282091222188554 }, { 4.5 , 2.453736570842442 }, { 4.625 , 2.62926886637513 }, { 4.75 , 2.808571418575736 }, { 4.875 , 2.99153431107781 }, { 5.0 , 3.178053830347946 }, { 5.125 , 3.368031956881733 }, { 5.25 , 3.561375910386697 }, { 5.375 , 3.757997741998131 }, { 5.5 , 3.957813967618717 }, { 5.625 , 4.160745237339519 }, { 5.75 , 4.366716036622286 }, { 5.875 , 4.57565441552762 }, { 6.0 , 4.787491742782046 }, { 6.125 , 5.002162481906205 }, { 6.25 , 5.219603986990229 }, { 6.375 , 5.439756316011858 }, { 6.5 , 5.662562059857142 }, { 6.625 , 5.887966185430003 }, { 6.75 , 6.115915891431546 }, { 6.875 , 6.346360475557843 }, { 7.0 , 6.579251212010101 }, { 7.125 , 6.814541238336996 }, { 7.25 , 7.05218545073854 }, { 7.375 , 7.292140407056348 }, { 7.5 , 7.534364236758733 }, { 7.625 , 7.778816557302289 }, { 7.75 , 8.025458396315983 }, { 7.875 , 8.274252119110479 }, { 8.0 , 8.525161361065415 }, { 8.125 , 8.77815096449171 }, { 8.25 , 9.033186919605123 }, { 8.375 , 9.290236309282232 }, { 8.5 , 9.549267257300997 }, { 8.625 , 9.810248879795765 }, { 8.75 , 10.07315123968124 }, { 8.875 , 10.33794530382217 }, { 9.0 , 10.60460290274525 }, { 9.125 , 10.87309669270751 }, { 9.25 , 11.14340011995171 }, { 9.375 , 11.41548738699336 }, { 9.5 , 11.68933342079727 }, { 9.625 , 11.96491384271319 }, { 9.75 , 12.24220494005076 }, { 9.875 , 12.52118363918365 }, { 10.0 , 12.80182748008147 }, { 0.8 , .1520596783998376 }, { 100.0 , 359.1342053695754 }, { 1000.0 , 5905.220423209181 }, { 10000.0 , 82099.71749644238 }, { 100000.0 , 1051287.708973657 }, { 1000000.0 , 1.2815504569147612e+7 }, { 10000000.0 , 1.511809493694739e+8 }, { 1.e+8 , 1.7420680661038346e+9 }, { 1.e+9 , 1.972326582750371e+10 }, { 1.e+10 , 2.202585092888106e+11 }, }; @Test public void testLogGamma() { final int ulps = 3; for (int i = 0; i < LOG_GAMMA_REF.length; i++) { final double[] data = LOG_GAMMA_REF[i]; final double x = data[0]; final double expected = data[1]; final double actual = Gamma.logGamma(x); final double tol; if (expected == 0.0) { tol = 1E-15; } else { tol = ulps * FastMath.ulp(expected); } Assert.assertEquals(Double.toString(x), expected, actual, tol); } } @Test public void testLogGammaPrecondition1() { Assert.assertTrue(Double.isNaN(Gamma.logGamma(0.0))); } @Test public void testLogGammaPrecondition2() { Assert.assertTrue(Double.isNaN(Gamma.logGamma(-1.0))); } /** * <p> * Reference values for the {@link Gamma#invGamma1pm1(double)} method. * These values were generated with the following <a * href="http://maxima.sourceforge.net/">Maxima</a> script * </p> * * <pre> * kill(all); * * fpprec : 64; * gam1(x) := 1 / gamma(1 + x) - 1; * x : makelist(bfloat(i / 8), i, -4, 12); * * for i : 1 while i <= length(x) do print("{", * float(x[i]), * ",", * float(gam1(x[i])), * "},"); * </pre> */ private static final double[][] INV_GAMMA1P_M1_REF = { { -0.5 , -.4358104164522437 }, { -0.375 , -.3029021533379859 }, { -0.25 , -0.183951060901737 }, { -0.125 , -.08227611018520711 }, { 0.0 , 0.0 }, { 0.125 , .06186116458306091 }, { 0.25 , .1032626513208373 }, { 0.375 , .1249687649039041 }, { 0.5 , .1283791670955126 }, { 0.625 , .1153565546592225 }, { 0.75 , 0.0880652521310173 }, { 0.875 , .04882730264547758 }, { 1.0 , 0.0 }, { 1.125 , -.05612340925950141 }, { 1.25 , -.1173898789433302 }, { 1.375 , -.1818408982517061 }, { 1.5 , -0.247747221936325 }, }; @Test public void testInvGamma1pm1() { final int ulps = 3; for (int i = 0; i < INV_GAMMA1P_M1_REF.length; i++) { final double[] ref = INV_GAMMA1P_M1_REF[i]; final double x = ref[0]; final double expected = ref[1]; final double actual = Gamma.invGamma1pm1(x); final double tol = ulps * FastMath.ulp(expected); Assert.assertEquals(Double.toString(x), expected, actual, tol); } } @Test(expected = NumberIsTooSmallException.class) public void testInvGamma1pm1Precondition1() { Gamma.invGamma1pm1(-0.51); } @Test(expected = NumberIsTooLargeException.class) public void testInvGamma1pm1Precondition2() { Gamma.invGamma1pm1(1.51); } private static final double[][] LOG_GAMMA1P_REF = { { - 0.5 , .5723649429247001 }, { - 0.375 , .3608294954889402 }, { - 0.25 , .2032809514312954 }, { - 0.125 , .08585870722533433 }, { 0.0 , 0.0 }, { 0.125 , - .06002318412603958 }, { 0.25 , - .09827183642181316 }, { 0.375 , - .1177552707410788 }, { 0.5 , - .1207822376352452 }, { 0.625 , - .1091741337567954 }, { 0.75 , - .08440112102048555 }, { 0.875 , - 0.0476726853991883 }, { 1.0 , 0.0 }, { 1.125 , .05775985153034387 }, { 1.25 , .1248717148923966 }, { 1.375 , .2006984603774558 }, { 1.5 , .2846828704729192 }, }; @Test public void testLogGamma1p() { final int ulps = 3; for (int i = 0; i < LOG_GAMMA1P_REF.length; i++) { final double[] ref = LOG_GAMMA1P_REF[i]; final double x = ref[0]; final double expected = ref[1]; final double actual = Gamma.logGamma1p(x); final double tol = ulps * FastMath.ulp(expected); Assert.assertEquals(Double.toString(x), expected, actual, tol); } } @Test(expected = NumberIsTooSmallException.class) public void testLogGamma1pPrecondition1() { Gamma.logGamma1p(-0.51); } @Test(expected = NumberIsTooLargeException.class) public void testLogGamma1pPrecondition2() { Gamma.logGamma1p(1.51); } /** * Reference data for the {@link Gamma#gamma(double)} function. This * data was generated with the following <a * href="http://maxima.sourceforge.net/">Maxima</a> script. * * <pre> * kill(all); * * fpprec : 64; * * EPSILON : 10**(-fpprec + 1); * isInteger(x) := abs(x - floor(x)) <= EPSILON * abs(x); * * x : makelist(bfloat(i / 8), i, -160, 160); * x : append(x, makelist(bfloat(i / 2), i, 41, 200)); * * for i : 1 while i <= length(x) do if not(isInteger(x[i])) then * print("{", float(x[i]), ",", float(gamma(x[i])), "},"); * </pre> */ private static final double[][] GAMMA_REF = { { - 19.875 , 4.920331854832504e-18 }, { - 19.75 , 3.879938752480031e-18 }, { - 19.625 , 4.323498423815027e-18 }, { - 19.5 , 5.811045977502237e-18 }, { - 19.375 , 9.14330910942125e-18 }, { - 19.25 , 1.735229114436739e-17 }, { - 19.125 , 4.653521565668223e-17 }, { - 18.875 , - 9.779159561479603e-17 }, { - 18.75 , - 7.662879036148061e-17 }, { - 18.625 , - 8.484865656736991e-17 }, { - 18.5 , - 1.133153965612936e-16 }, { - 18.375 , - 1.771516139950367e-16 }, { - 18.25 , - 3.340316045290721e-16 }, { - 18.125 , - 8.899859994340475e-16 }, { - 17.875 , 1.845816367229275e-15 }, { - 17.75 , 1.436789819277761e-15 }, { - 17.625 , 1.580306228567265e-15 }, { - 17.5 , 2.096334836383932e-15 }, { - 17.375 , 3.255160907158799e-15 }, { - 17.25 , 6.096076782655566e-15 }, { - 17.125 , 1.613099623974211e-14 }, { - 16.875 , - 3.29939675642233e-14 }, { - 16.75 , - 2.550301929218027e-14 }, { - 16.625 , - 2.785289727849803e-14 }, { - 16.5 , - 3.66858596367188e-14 }, { - 16.375 , - 5.655842076188414e-14 }, { - 16.25 , - 1.051573245008085e-13 }, { - 16.125 , - 2.762433106055837e-13 }, { - 15.875 , 5.567732026462681e-13 }, { - 15.75 , 4.271755731440195e-13 }, { - 15.625 , 4.630544172550298e-13 }, { - 15.5 , 6.053166840058604e-13 }, { - 15.375 , 9.261441399758529e-13 }, { - 15.25 , 1.708806523138138e-12 }, { - 15.125 , 4.454423383515037e-12 }, { - 14.875 , - 8.838774592009505e-12 }, { - 14.75 , - 6.728015277018307e-12 }, { - 14.625 , - 7.235225269609841e-12 }, { - 14.5 , - 9.382408602090835e-12 }, { - 14.375 , - 1.423946615212874e-11 }, { - 14.25 , - 2.605929947785661e-11 }, { - 14.125 , - 6.737315367566492e-11 }, { - 13.875 , 1.314767720561414e-10 }, { - 13.75 , 9.923822533602004e-11 }, { - 13.625 , 1.058151695680439e-10 }, { - 13.5 , 1.360449247303171e-10 }, { - 13.375 , 2.046923259368506e-10 }, { - 13.25 , 3.713450175594567e-10 }, { - 13.125 , 9.516457956687671e-10 }, { - 12.875 , - 1.8242402122789617e-9 }, { - 12.75 , - 1.3645255983702756e-9 }, { - 12.625 , - 1.4417316853645984e-9 }, { - 12.5 , - 1.836606483859281e-9 }, { - 12.375 , - 2.7377598594053765e-9 }, { - 12.25 , - 4.9203214826628017e-9 }, { - 12.125 , - 1.2490351068152569e-8 }, { - 11.875 , 2.3487092733091633e-8 }, { - 11.75 , 1.7397701379221012e-8 }, { - 11.625 , 1.8201862527728055e-8 }, { - 11.5 , 2.295758104824101e-8 }, { - 11.375 , 3.3879778260141535e-8 }, { - 11.25 , 6.027393816261931e-8 }, { - 11.125 , 1.5144550670134987e-7 }, { - 10.875 , - 2.7890922620546316e-7 }, { - 10.75 , - 2.044229912058469e-7 }, { - 10.625 , - 2.1159665188483867e-7 }, { - 10.5 , - 2.640121820547716e-7 }, { - 10.375 , - 3.8538247770911e-7 }, { - 10.25 , - 6.780818043294673e-7 }, { - 10.125 , - 1.6848312620525174e-6 }, { - 9.875 , 3.0331378349844124e-6 }, { - 9.75 , 2.1975471554628537e-6 }, { - 9.625 , 2.2482144262764103e-6 }, { - 9.5 , 2.772127911575102e-6 }, { - 9.375 , 3.998343206232017e-6 }, { - 9.25 , 6.95033849437704e-6 }, { - 9.125 , 1.7058916528281737e-5 }, { - 8.875 , - 2.9952236120471065e-5 }, { - 8.75 , - 2.1426084765762826e-5 }, { - 8.625 , - 2.163906385291045e-5 }, { - 8.5 , - 2.633521515996347e-5 }, { - 8.375 , - 3.748446755842515e-5 }, { - 8.25 , - 6.429063107298763e-5 }, { - 8.125 , - 1.5566261332057085e-4 }, { - 7.875 , 2.658260955691807e-4 }, { - 7.75 , 1.874782417004247e-4 }, { - 7.625 , 1.8663692573135265e-4 }, { - 7.5 , 2.238493288596895e-4 }, { - 7.375 , 3.1393241580181064e-4 }, { - 7.25 , 5.303977063521479e-4 }, { - 7.125 , .001264758733229638 }, { - 6.875 , - .002093380502607298 }, { - 6.75 , - .001452956373178292 }, { - 6.625 , - .001423106558701564 }, { - 6.5 , - .001678869966447671 }, { - 6.375 , - .002315251566538353 }, { - 6.25 , - .003845383371053072 }, { - 6.125 , - .009011405974261174 }, { - 5.875 , .01439199095542518 }, { - 5.75 , .009807455518953468 }, { - 5.625 , .009428080951397862 }, { - 5.5 , .01091265478190986 }, { - 5.375 , 0.014759728736682 }, { - 5.25 , 0.0240336460690817 }, { - 5.125 , .05519486159234969 }, { - 4.875 , - 0.0845529468631229 }, { - 4.75 , - .05639286923398244 }, { - 4.625 , - .05303295535161297 }, { - 4.5 , - .06001960130050425 }, { - 4.375 , - .07933354195966577 }, { - 4.25 , - .1261766418626789 }, { - 4.125 , - .2828736656607921 }, { - 3.875 , .4121956159577241 }, { - 3.75 , .2678661288614166 }, { - 3.625 , 0.24527741850121 }, { - 3.5 , .2700882058522691 }, { - 3.375 , .3470842460735378 }, { - 3.25 , .5362507279163854 }, { - 3.125 , 1.166853870850768 }, { - 2.875 , - 1.597258011836181 }, { - 2.75 , - 1.004497983230312 }, { - 2.625 , - .8891306420668862 }, { - 2.5 , - .9453087204829419 }, { - 2.375 , - 1.17140933049819 }, { - 2.25 , - 1.742814865728253 }, { - 2.125 , - 3.646418346408649 }, { - 1.875 , 4.59211678402902 }, { - 1.75 , 2.762369453883359 }, { - 1.625 , 2.333967935425576 }, { - 1.5 , 2.363271801207355 }, { - 1.375 , 2.782097159933201 }, { - 1.25 , 3.921333447888569 }, { - 1.125 , 7.748638986118379 }, { - 0.875 , - 8.610218970054413 }, { - 0.75 , - 4.834146544295877 }, { - 0.625 , - 3.792697895066561 }, { - 0.5 , - 3.544907701811032 }, { - 0.375 , - 3.825383594908152 }, { - 0.25 , - 4.901666809860711 }, { - 0.125 , - 8.717218859383175 }, { 0.125 , 7.533941598797612 }, { 0.25 , 3.625609908221908 }, { 0.375 , 2.370436184416601 }, { 0.5 , 1.772453850905516 }, { 0.625 , 1.434518848090557 }, { 0.75 , 1.225416702465178 }, { 0.875 , 1.089652357422897 }, { 1.0 , 1.0 }, { 1.125 , .9417426998497015 }, { 1.25 , 0.906402477055477 }, { 1.375 , .8889135691562253 }, { 1.5 , 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6.2270208e+9 }, { 14.125 , 8.626505009720685e+9 }, { 14.25 , 1.196429931215385e+10 }, { 14.375 , 1.66124224207142e+10 }, { 14.5 , 2.309231792231424e+10 }, { 14.625 , 3.213561343446927e+10 }, { 14.75 , 4.476987494601794e+10 }, { 14.875 , 6.243975339089396e+10 }, { 15.0 , 8.71782912e+10 }, { 15.125 , 1.218493832623047e+11 }, { 15.25 , 1.704912651981923e+11 }, { 15.375 , 2.388035722977667e+11 }, { 15.5 , 3.348386098735565e+11 }, { 15.625 , 4.699833464791132e+11 }, { 15.75 , 6.603556554537646e+11 }, { 15.875 , 9.287913316895475e+11 }, { 16.0 , 1.307674368e+12 }, { 16.125 , 1.842971921842358e+12 }, { 16.25 , 2.599991794272433e+12 }, { 16.375 , 3.671604924078163e+12 }, { 16.5 , 5.189998453040126e+12 }, { 16.625 , 7.343489788736144e+12 }, { 16.75 , 1.040060157339679e+13 }, { 16.875 , 1.474456239057157e+13 }, { 17.0 , 2.0922789888e+13 }, { 17.125 , 2.971792223970803e+13 }, { 17.25 , 4.224986665692704e+13 }, { 17.375 , 6.012253063177992e+13 }, { 17.5 , 8.563497447516206e+13 }, { 17.625 , 1.220855177377384e+14 }, { 17.75 , 1.742100763543963e+14 }, { 17.875 , 2.488144903408952e+14 }, { 18.0 , 3.55687428096e+14 }, { 18.125 , 5.08919418355e+14 }, { 18.25 , 7.288101998319914e+14 }, { 18.375 , 1.044628969727176e+15 }, { 18.5 , 1.498612053315336e+15 }, { 18.625 , 2.151757250127639e+15 }, { 18.75 , 3.092228855290534e+15 }, { 18.875 , 4.447559014843502e+15 }, { 19.0 , 6.402373705728e+15 }, { 19.125 , 9.224164457684374e+15 }, { 19.25 , 1.330078614693384e+16 }, { 19.375 , 1.919505731873686e+16 }, { 19.5 , 2.772432298633372e+16 }, { 19.625 , 4.007647878362728e+16 }, { 19.75 , 5.797929103669752e+16 }, { 19.875 , 8.39476764051711e+16 }, { 20.0 , 1.21645100408832e+17 }, { 20.5 , 5.406242982335075e+17 }, { 21.0 , 2.43290200817664e+18 }, { 21.5 , 1.10827981137869e+19 }, { 22.0 , 5.109094217170944e+19 }, { 22.5 , 2.382801594464184e+20 }, { 23.0 , 1.124000727777608e+21 }, { 23.5 , 5.361303587544415e+21 }, { 24.0 , 2.585201673888498e+22 }, { 24.5 , 1.259906343072938e+23 }, { 25.0 , 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4.75364333701284e+122 }, { 83.5 , 4.32425788454742e+123 }, { 84.0 , 3.94552396972066e+124 }, { 84.5 , 3.6107553335971e+125 }, { 85.0 , 3.31424013456535e+126 }, { 85.5 , 3.05108825688955e+127 }, { 86.0 , 2.81710411438055e+128 }, { 86.5 , 2.60868045964056e+129 }, { 87.0 , 2.42270953836727e+130 }, { 87.5 , 2.25650859758909e+131 }, { 88.0 , 2.10775729837953e+132 }, { 88.5 , 1.97444502289045e+133 }, { 89.0 , 1.85482642257398e+134 }, { 89.5 , 1.74738384525805e+135 }, { 90.0 , 1.65079551609085e+136 }, { 90.5 , 1.56390854150595e+137 }, { 91.0 , 1.48571596448176e+138 }, { 91.5 , 1.41533723006289e+139 }, { 92.0 , 1.3520015276784e+140 }, { 92.5 , 1.29503356550754e+141 }, { 93.0 , 1.24384140546413e+142 }, { 93.5 , 1.19790604809448e+143 }, { 94.0 , 1.15677250708164e+144 }, { 94.5 , 1.12004215496834e+145 }, { 95.0 , 1.08736615665674e+146 }, { 95.5 , 1.05843983644508e+147 }, { 96.0 , 1.03299784882391e+148 }, { 96.5 , 1.01081004380505e+149 }, { 97.0 , 9.9167793487095e+149 }, { 97.5 , 9.75431692271873e+150 }, { 98.0 , 9.61927596824821e+151 }, { 98.5 , 9.51045899965076e+152 }, { 99.0 , 9.42689044888325e+153 }, { 99.5 , 9.367802114656e+154 }, { 100.0 , 9.33262154439441e+155 }, }; @Test public void testGamma() { for (int i = 0; i < GAMMA_REF.length; i++) { final double[] ref = GAMMA_REF[i]; final double x = ref[0]; final double expected = ref[1]; final double actual = Gamma.gamma(x); final double absX = FastMath.abs(x); final int ulps; if (absX <= 8.0) { ulps = 3; } else if (absX <= 20.0) { ulps = 5; } else if (absX <= 30.0) { ulps = 50; } else if (absX <= 50.0) { ulps = 180; } else { ulps = 500; } final double tol = ulps * FastMath.ulp(expected); Assert.assertEquals(Double.toString(x), expected, actual, tol); } } @Test public void testGammaNegativeInteger() { for (int i = -100; i <= 0; i++) { Assert.assertTrue(Integer.toString(i), Double.isNaN(Gamma.gamma(i))); } } private void checkRelativeError(String msg, double expected, double actual, double tolerance) { Assert.assertEquals(msg, expected, actual, FastMath.abs(tolerance * actual)); } }