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@stdlib/math-base-special-gammaincinv

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Inverse incomplete gamma function.

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/** * @license Apache-2.0 * * Copyright (c) 2022 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 0.00439937562904; } if ( x < 0.0 ) { ax = -x; } else { ax = x; } if ( ax <= 1.0 ) { s1 = 0.00439937562904 + (x * (0.000487225670639 + (x * (-0.000128470657374 + (x * (0.00000529110969589 + (x * 1.5716677175e-7))))))); // eslint-disable-line max-len s2 = 1.0 + (x * (0.794435257415 + (x * (0.333094721709 + (x * (0.0703527806143 + (x * 0.00806110846078))))))); // eslint-disable-line max-len } else { x = 1.0 / x; s1 = 1.5716677175e-7 + (x * (0.00000529110969589 + (x * (-0.000128470657374 + (x * (0.000487225670639 + (x * 0.00439937562904))))))); // eslint-disable-line max-len s2 = 0.00806110846078 + (x * (0.0703527806143 + (x * (0.333094721709 + (x * (0.794435257415 + (x * 1.0))))))); // eslint-disable-line max-len } return s1 / s2; } // EXPORTS // module.exports = evalrational;