UpperRegularized.java

  1. package org.drip.specialfunction.incompletegamma;

  2. /*
  3.  * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
  4.  */

  5. /*!
  6.  * Copyright (C) 2020 Lakshmi Krishnamurthy
  7.  * Copyright (C) 2019 Lakshmi Krishnamurthy
  8.  *
  9.  *  This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
  10.  *      asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
  11.  *      analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
  12.  *      equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
  13.  *      numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
  14.  *      and computational support.
  15.  *  
  16.  *      https://lakshmidrip.github.io/DROP/
  17.  *  
  18.  *  DROP is composed of three modules:
  19.  *  
  20.  *  - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
  21.  *  - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
  22.  *  - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
  23.  *
  24.  *  DROP Product Core implements libraries for the following:
  25.  *  - Fixed Income Analytics
  26.  *  - Loan Analytics
  27.  *  - Transaction Cost Analytics
  28.  *
  29.  *  DROP Portfolio Core implements libraries for the following:
  30.  *  - Asset Allocation Analytics
  31.  *  - Asset Liability Management Analytics
  32.  *  - Capital Estimation Analytics
  33.  *  - Exposure Analytics
  34.  *  - Margin Analytics
  35.  *  - XVA Analytics
  36.  *
  37.  *  DROP Computational Core implements libraries for the following:
  38.  *  - Algorithm Support
  39.  *  - Computation Support
  40.  *  - Function Analysis
  41.  *  - Model Validation
  42.  *  - Numerical Analysis
  43.  *  - Numerical Optimizer
  44.  *  - Spline Builder
  45.  *  - Statistical Learning
  46.  *
  47.  *  Documentation for DROP is Spread Over:
  48.  *
  49.  *  - Main                     => https://lakshmidrip.github.io/DROP/
  50.  *  - Wiki                     => https://github.com/lakshmiDRIP/DROP/wiki
  51.  *  - GitHub                   => https://github.com/lakshmiDRIP/DROP
  52.  *  - Repo Layout Taxonomy     => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
  53.  *  - Javadoc                  => https://lakshmidrip.github.io/DROP/Javadoc/index.html
  54.  *  - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
  55.  *  - Release Versions         => https://lakshmidrip.github.io/DROP/version.html
  56.  *  - Community Credits        => https://lakshmidrip.github.io/DROP/credits.html
  57.  *  - Issues Catalog           => https://github.com/lakshmiDRIP/DROP/issues
  58.  *  - JUnit                    => https://lakshmidrip.github.io/DROP/junit/index.html
  59.  *  - Jacoco                   => https://lakshmidrip.github.io/DROP/jacoco/index.html
  60.  *
  61.  *  Licensed under the Apache License, Version 2.0 (the "License");
  62.  *      you may not use this file except in compliance with the License.
  63.  *  
  64.  *  You may obtain a copy of the License at
  65.  *      http://www.apache.org/licenses/LICENSE-2.0
  66.  *  
  67.  *  Unless required by applicable law or agreed to in writing, software
  68.  *      distributed under the License is distributed on an "AS IS" BASIS,
  69.  *      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  70.  *  
  71.  *  See the License for the specific language governing permissions and
  72.  *      limitations under the License.
  73.  */

  74. /**
  75.  * <i>UpperRegularized</i> implements the Regularized Version of the Upper Incomplete Gamma. The References
  76.  * are:
  77.  *
  78.  * <br><br>
  79.  *  <ul>
  80.  *      <li>
  81.  *          Geddes, K. O., M. L. Glasser, R. A. Moore, and T. C. Scott (1990): Evaluation of Classes of
  82.  *              Definite Integrals involving Elementary Functions via Differentiation of Special Functions
  83.  *              <i>Applicable Algebra in Engineering, Communications, and </i> <b>1 (2)</b> 149-165
  84.  *      </li>
  85.  *      <li>
  86.  *          Gradshteyn, I. S., I. M. Ryzhik, Y. V. Geronimus, M. Y. Tseytlin, and A. Jeffrey (2015):
  87.  *              <i>Tables of Integrals, Series, and Products</i> <b>Academic Press</b>
  88.  *      </li>
  89.  *      <li>
  90.  *          Mathar, R. J. (2010): Numerical Evaluation of the Oscillatory Integral over
  91.  *              e<sup>iÏ€x</sup> x<sup>(1/x)</sup> between 1 and ∞
  92.  *              https://arxiv.org/pdf/0912.3844.pdf <b>arXiV</b>
  93.  *      </li>
  94.  *      <li>
  95.  *          National Institute of Standards and Technology (2019): Incomplete Gamma and Related Functions
  96.  *              https://dlmf.nist.gov/8
  97.  *      </li>
  98.  *      <li>
  99.  *          Wikipedia (2019): Incomplete Gamma Function
  100.  *              https://en.wikipedia.org/wiki/Incomplete_gamma_function
  101.  *      </li>
  102.  *  </ul>
  103.  *
  104.  *  <br><br>
  105.  *  <ul>
  106.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ComputationalCore.md">Computational Core Module</a></li>
  107.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/FunctionAnalysisLibrary.md">Function Analysis Library</a></li>
  108.  *      <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/specialfunction/README.md">Special Function Implementation Analysis</a></li>
  109.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/specialfunction/gammaincomplete/README.md">Upper/Lower Incomplete Gamma Functions</a></li>
  110.  *  </ul>
  111.  *
  112.  * @author Lakshmi Krishnamurthy
  113.  */

  114. public abstract class UpperRegularized
  115. {

  116.     /**
  117.      * Construct the Gauss Continued Version of Upper Regularized Incomplete Gamma Function
  118.      *
  119.      * @param n Count of the Number of Terms
  120.      *
  121.      * @return Gauss Continued Version of Upper Regularized Incomplete Gamma Function
  122.      */

  123.     public static final UpperRegularized GaussContinuedFraction (
  124.         final int n)
  125.     {
  126.         return new UpperRegularized()
  127.         {
  128.             @Override public double p (
  129.                 final double s,
  130.                 final double z)
  131.                 throws java.lang.Exception
  132.             {
  133.                 double p = org.drip.specialfunction.incompletegamma.GaussContinuedFraction.Upper (
  134.                     z,
  135.                     s,
  136.                     n
  137.                 ) / new org.drip.specialfunction.gamma.NemesAnalytic (null).evaluate (s);

  138.                 return p > 1. ? 1. : p;
  139.             }
  140.         };
  141.     }

  142.     /**
  143.      * Construct the Abramowitz Stegun 2007 Version of Upper Regularized Incomplete Gamma Function
  144.      *
  145.      * @param n Count of the Number of Terms
  146.      *
  147.      * @return Abramowitz Stegun 2007 Version of Upper Regularized Incomplete Gamma Function
  148.      */

  149.     public static final UpperRegularized AbramowitzStegun2007 (
  150.         final int n)
  151.     {
  152.         return new UpperRegularized()
  153.         {
  154.             @Override public double p (
  155.                 final double s,
  156.                 final double z)
  157.                 throws java.lang.Exception
  158.             {
  159.                 double p = org.drip.specialfunction.incompletegamma.GaussContinuedFraction.UpperAbramowitzStegun2007 (
  160.                     z,
  161.                     s,
  162.                     n
  163.                 ) / new org.drip.specialfunction.gamma.NemesAnalytic (null).evaluate (s);

  164.                 return p > 1. ? 1. : p;
  165.             }
  166.         };
  167.     }

  168.     /**
  169.      * Construct the Euler Integral Version of Upper Regularized Incomplete Gamma Function
  170.      *
  171.      * @return Euler Integral Version of Upper Regularized Incomplete Gamma Function
  172.      */

  173.     public static final UpperRegularized EulerIntegral()
  174.     {
  175.         return new UpperRegularized()
  176.         {
  177.             @Override public double p (
  178.                 final double s,
  179.                 final double z)
  180.                 throws java.lang.Exception
  181.             {
  182.                 double p = new org.drip.specialfunction.incompletegamma.UpperEulerIntegral (
  183.                     null,
  184.                     z
  185.                 ).evaluate (s) / new org.drip.specialfunction.gamma.NemesAnalytic (null).evaluate (s);

  186.                 return p > 1. ? 1. : p;
  187.             }
  188.         };
  189.     }

  190.     /**
  191.      * Construct the Weisstein Version of Upper Regularized Incomplete Gamma Function
  192.      *
  193.      * @return Weisstein Version of Upper Regularized Incomplete Gamma Function
  194.      */

  195.     public static final UpperRegularized Weisstein()
  196.     {
  197.         return new UpperRegularized()
  198.         {
  199.             @Override public double p (
  200.                 final double s,
  201.                 final double z)
  202.                 throws java.lang.Exception
  203.             {
  204.                 double p = org.drip.specialfunction.incompletegamma.UpperSFixed.Weisstein ((int) s).evaluate (z) /
  205.                     new org.drip.specialfunction.gamma.NemesAnalytic (null).evaluate (s);

  206.                 return p > 1. ? 1. : p;
  207.             }
  208.         };
  209.     }

  210.     private UpperRegularized()
  211.     {
  212.     }

  213.     /**
  214.      * Compute p (s, z)
  215.      *
  216.      * @param s s
  217.      * @param z z
  218.      *
  219.      * @return p(s, z)
  220.      *
  221.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  222.      */

  223.     public abstract double p (
  224.         final double s,
  225.         final double z)
  226.         throws java.lang.Exception;
  227. }