RiemannSphereSpanner2F1.java

  1. package org.drip.specialfunction.group;

  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>RiemannSphereSpanner</i> determines the Conformality and Tile Scheme of the Schwarz Singular Triangle
  76.  * Maps over the Riemann Sphere composed of the 2F1 Solutions. The References are:
  77.  *
  78.  * <br><br>
  79.  *  <ul>
  80.  *      <li>
  81.  *          Gessel, I., and D. Stanton (1982): Strange Evaluations of Hyper-geometric Series <i>SIAM Journal
  82.  *              on Mathematical Analysis</i> <b>13 (2)</b> 295-308
  83.  *      </li>
  84.  *      <li>
  85.  *          Koepf, W (1995): Algorithms for m-fold Hyper-geometric Summation <i>Journal of Symbolic
  86.  *              Computation</i> <b>20 (4)</b> 399-417
  87.  *      </li>
  88.  *      <li>
  89.  *          Lavoie, J. L., F. Grondin, and A. K. Rathie (1996): Generalization of Whipple’s Theorem on the
  90.  *              Sum of a (_2^3)F(a,b;c;z) <i>Journal of Computational and Applied Mathematics</i> <b>72</b>
  91.  *              293-300
  92.  *      </li>
  93.  *      <li>
  94.  *          National Institute of Standards and Technology (2019): Hyper-geometric Function
  95.  *              https://dlmf.nist.gov/15
  96.  *      </li>
  97.  *      <li>
  98.  *          Wikipedia (2019): Hyper-geometric Function https://en.wikipedia.org/wiki/Hypergeometric_function
  99.  *      </li>
  100.  *  </ul>
  101.  *
  102.  *  <br><br>
  103.  *  <ul>
  104.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ComputationalCore.md">Computational Core Module</a></li>
  105.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/FunctionAnalysisLibrary.md">Function Analysis Library</a></li>
  106.  *      <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>
  107.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/specialfunction/group/README.md">Special Function Singularity Solution Group</a></li>
  108.  *  </ul>
  109.  *
  110.  * @author Lakshmi Krishnamurthy
  111.  */

  112. public class RiemannSphereSpanner2F1
  113. {

  114.     /**
  115.      * Generate the 2F1 Instance of the RiemannSphereSpanner
  116.      *
  117.      * @param regularHypergeometricEstimator Regular Hyper-geometric Estimator
  118.      * @param connectionCoefficientArray Array of the Singularity Point Connection Coefficients
  119.      *
  120.      * @return The 2F1 Instance of the RiemannSphereSpanner
  121.      */

  122.     public static final org.drip.specialfunction.group.RiemannSphereSpanner Generate (
  123.         final org.drip.specialfunction.definition.RegularHypergeometricEstimator
  124.             regularHypergeometricEstimator,
  125.         final double[] connectionCoefficientArray)
  126.     {
  127.         if (null == connectionCoefficientArray || 3 != connectionCoefficientArray.length)
  128.         {
  129.             return null;
  130.         }

  131.         org.drip.specialfunction.ode.RegularSingularityIndependentSolution
  132.             regularSingularityIndependentSolution2F1 =
  133.                 org.drip.specialfunction.ode.RegularSingularityIndependentSolution2F1.Create
  134.                     (regularHypergeometricEstimator);

  135.         if (null == regularSingularityIndependentSolution2F1)
  136.         {
  137.             return null;
  138.         }

  139.         java.util.Map<java.lang.Double, org.drip.specialfunction.ode.IndependentLinearSolutionList>
  140.             linearSolutionFunctionMap = regularSingularityIndependentSolution2F1.linearSolutionFunctionMap();

  141.         if (null == linearSolutionFunctionMap ||
  142.             !linearSolutionFunctionMap.containsKey (0.) ||
  143.             !linearSolutionFunctionMap.containsKey (1.) ||
  144.             !linearSolutionFunctionMap.containsKey (java.lang.Double.POSITIVE_INFINITY))
  145.         {
  146.             return null;
  147.         }

  148.         org.drip.specialfunction.group.SchwarzTriangleMap[] schwarzTriangleMapArray = new
  149.             org.drip.specialfunction.group.SchwarzTriangleMap[3];

  150.         try
  151.         {
  152.             java.util.List<org.drip.function.definition.R1ToR1> solutionFunctionList0 =
  153.                 linearSolutionFunctionMap.get (0.).solutionFunctionList();

  154.             schwarzTriangleMapArray[0] = new org.drip.specialfunction.group.SchwarzTriangleMap (
  155.                 0.,
  156.                 solutionFunctionList0.get (0),
  157.                 solutionFunctionList0.get (1),
  158.                 new org.drip.function.definition.R1ToR1 (null)
  159.                 {
  160.                     @Override public double evaluate (
  161.                         final double z)
  162.                     {
  163.                         return z;
  164.                     }
  165.                 },
  166.                 connectionCoefficientArray[0]
  167.             );

  168.             java.util.List<org.drip.function.definition.R1ToR1> solutionFunctionList1 =
  169.                 linearSolutionFunctionMap.get (1.).solutionFunctionList();

  170.             schwarzTriangleMapArray[1] = new org.drip.specialfunction.group.SchwarzTriangleMap (
  171.                 1.,
  172.                 solutionFunctionList1.get (0),
  173.                 solutionFunctionList1.get (1),
  174.                 new org.drip.function.definition.R1ToR1 (null)
  175.                 {
  176.                     @Override public double evaluate (
  177.                         final double z)
  178.                     {
  179.                         return 1. - z;
  180.                     }
  181.                 },
  182.                 connectionCoefficientArray[1]
  183.             );

  184.             java.util.List<org.drip.function.definition.R1ToR1> solutionFunctionList2 =
  185.                 linearSolutionFunctionMap.get (java.lang.Double.POSITIVE_INFINITY).solutionFunctionList();

  186.             schwarzTriangleMapArray[2] = new org.drip.specialfunction.group.SchwarzTriangleMap (
  187.                 java.lang.Double.POSITIVE_INFINITY,
  188.                 solutionFunctionList2.get (0),
  189.                 solutionFunctionList2.get (1),
  190.                 new org.drip.function.definition.R1ToR1 (null)
  191.                 {
  192.                     @Override public double evaluate (
  193.                         final double z)
  194.                     {
  195.                         return 1. / z;
  196.                     }
  197.                 },
  198.                 connectionCoefficientArray[2]
  199.             );

  200.             return new org.drip.specialfunction.group.RiemannSphereSpanner (schwarzTriangleMapArray);
  201.         }
  202.         catch (java.lang.Exception e)
  203.         {
  204.             e.printStackTrace();
  205.         }

  206.         return null;
  207.     }
  208. }