Press n or j to go to the next uncovered block, b, p or k for the previous block.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 320x 320x 320x 320x 320x 320x 320x 320x 320x 320x 40x 40x 320x 280x 280x 280x 280x 320x 320x 1x 1x 1x 1x 1x | /** * @license Apache-2.0 * * Copyright (c) 2024 The Stdlib Authors. * * Licensed 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. */ /* This is a generated file. Do not edit directly. */ 'use strict'; // MAIN // /** * Evaluates a rational function (i.e., the ratio of two polynomials described by the coefficients stored in \\(P\\) and \\(Q\\)). * * ## Notes * * - Coefficients should be sorted in ascending degree. * - The implementation uses [Horner's rule][horners-method] for efficient computation. * * [horners-method]: https://en.wikipedia.org/wiki/Horner%27s_method * * @private * @param {number} x - value at which to evaluate the rational function * @returns {number} evaluated rational function */ function evalrational( x ) { var ax; var s1; var s2; if ( x === 0.0 ) { return -4.785580284951356; } if ( x < 0.0 ) { ax = -x; } else { ax = x; } if ( ax <= 1.0 ) { s1 = -4.785580284951356 + (x * (-1.8919736488197254 + (x * (-0.21140713487441282 + (x * (-0.0001892047582600767 + (x * (0.0011514092388917874 + (x * (0.00006399492042131645 + (x * (0.000001393489324453249 + (x * (0.0 + (x * 0.0))))))))))))))); // eslint-disable-line max-len s2 = 1.0 + (x * (0.24434533737818856 + (x * (0.008733707544922887 + (x * (-0.0011759276533443448 + (x * (-0.00007437436828999331 + (x * (-0.0000021750464515767985 + (x * (4.710012640030765e-9 + (x * (-8.333784406253855e-11 + (x * 6.998415452048457e-13))))))))))))))); // eslint-disable-line max-len } else { x = 1.0 / x; s1 = 0.0 + (x * (0.0 + (x * (0.000001393489324453249 + (x * (0.00006399492042131645 + (x * (0.0011514092388917874 + (x * (-0.0001892047582600767 + (x * (-0.21140713487441282 + (x * (-1.8919736488197254 + (x * -4.785580284951356))))))))))))))); // eslint-disable-line max-len s2 = 6.998415452048457e-13 + (x * (-8.333784406253855e-11 + (x * (4.710012640030765e-9 + (x * (-0.0000021750464515767985 + (x * (-0.00007437436828999331 + (x * (-0.0011759276533443448 + (x * (0.008733707544922887 + (x * (0.24434533737818856 + (x * 1.0))))))))))))))); // eslint-disable-line max-len } return s1 / s2; } // EXPORTS // module.exports = evalrational; |