/* * Copyright (c) 2003, 2022, Oracle and/or its affiliates. All rights reserved. * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. * * This code is free software; you can redistribute it and/or modify it * under the terms of the GNU General Public License version 2 only, as * published by the Free Software Foundation. * * This code is distributed in the hope that it will be useful, but WITHOUT * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License * version 2 for more details (a copy is included in the LICENSE file that * accompanied this code). * * You should have received a copy of the GNU General Public License version * 2 along with this work; if not, write to the Free Software Foundation, * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. * * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA * or visit www.oracle.com if you need additional information or have any * questions.
*/
/* * The Taylor expansion of expxm1(x) = exp(x) -1 is * * 1 + x/1! + x^2/2! + x^3/3| + ... -1 = * * x + x^2/2! + x^3/3 + ... * * Therefore, for small values of x, expxm1 ~= x. * * For large values of x, expxm1(x) ~= exp(x) * * For large negative x, expxm1(x) ~= -1.
*/
// Test special cases for(int i = 0; i < testCases.length; i++) {
failures += testExpm1CaseWithUlpDiff(testCases[i][0],
testCases[i][1], 0, null);
}
// For |x| < 2^-54 expm1(x) ~= x for(int i = DoubleConsts.MIN_SUB_EXPONENT; i <= -54; i++) { double d = Math.scalb(2, i);
failures += testExpm1Case(d, d);
failures += testExpm1Case(-d, -d);
}
// For values of y where exp(y) > 2^54, expm1(x) ~= exp(x). // The least such y is ln(2^54) ~= 37.42994775023705; exp(x) // overflows for x > ~= 709.8
// Use a 2-ulp error threshold to account for errors in the // exp implementation; the increments of d in the loop will be // exact. for(double d = 37.5; d <= 709.5; d += 1.0) {
failures += testExpm1CaseWithUlpDiff(d, StrictMath.exp(d), 2, null);
}
// For x > 710, expm1(x) should be infinity for(int i = 10; i <= Double.MAX_EXPONENT; i++) { double d = Math.scalb(2, i);
failures += testExpm1Case(d, infinityD);
}
// By monotonicity, once the limit is reached, the // implemenation should return the limit for all smaller // values. boolean reachedLimit [] = {false, false};
// Once exp(y) < 0.5 * ulp(1), expm1(y) ~= -1.0; // The greatest such y is ln(2^-53) ~= -36.7368005696771. for(double d = -36.75; d >= -127.75; d -= 1.0) {
failures += testExpm1CaseWithUlpDiff(d, -1.0, 1,
reachedLimit);
}
for(int i = 7; i <= Double.MAX_EXPONENT; i++) { double d = -Math.scalb(2, i);
failures += testExpm1CaseWithUlpDiff(d, -1.0, 1, reachedLimit);
}
// Test for monotonicity failures near multiples of log(2). // Test two numbers before and two numbers after each chosen // value; i.e. // // pcNeighbors[] = // {nextDown(nextDown(pc)), // nextDown(pc), // pc, // nextUp(pc), // nextUp(nextUp(pc))} // // and we test that expm1(pcNeighbors[i]) <= expm1(pcNeighbors[i+1])
{ double pcNeighbors[] = newdouble[5]; double pcNeighborsExpm1[] = newdouble[5]; double pcNeighborsStrictExpm1[] = newdouble[5];
for(int i = -50; i <= 50; i++) { double pc = StrictMath.log(2)*i;
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