LowerSFixed.java
- package org.drip.specialfunction.incompletegamma;
- /*
- * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
- */
- /*!
- * Copyright (C) 2020 Lakshmi Krishnamurthy
- * Copyright (C) 2019 Lakshmi Krishnamurthy
- *
- * This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
- * asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
- * analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
- * equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
- * numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
- * and computational support.
- *
- * https://lakshmidrip.github.io/DROP/
- *
- * DROP is composed of three modules:
- *
- * - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
- * - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
- * - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
- *
- * DROP Product Core implements libraries for the following:
- * - Fixed Income Analytics
- * - Loan Analytics
- * - Transaction Cost Analytics
- *
- * DROP Portfolio Core implements libraries for the following:
- * - Asset Allocation Analytics
- * - Asset Liability Management Analytics
- * - Capital Estimation Analytics
- * - Exposure Analytics
- * - Margin Analytics
- * - XVA Analytics
- *
- * DROP Computational Core implements libraries for the following:
- * - Algorithm Support
- * - Computation Support
- * - Function Analysis
- * - Model Validation
- * - Numerical Analysis
- * - Numerical Optimizer
- * - Spline Builder
- * - Statistical Learning
- *
- * Documentation for DROP is Spread Over:
- *
- * - Main => https://lakshmidrip.github.io/DROP/
- * - Wiki => https://github.com/lakshmiDRIP/DROP/wiki
- * - GitHub => https://github.com/lakshmiDRIP/DROP
- * - Repo Layout Taxonomy => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
- * - Javadoc => https://lakshmidrip.github.io/DROP/Javadoc/index.html
- * - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
- * - Release Versions => https://lakshmidrip.github.io/DROP/version.html
- * - Community Credits => https://lakshmidrip.github.io/DROP/credits.html
- * - Issues Catalog => https://github.com/lakshmiDRIP/DROP/issues
- * - JUnit => https://lakshmidrip.github.io/DROP/junit/index.html
- * - Jacoco => https://lakshmidrip.github.io/DROP/jacoco/index.html
- *
- * 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.
- */
- /**
- * <i>LowerSFixed</i> implements the Lower Incomplete Gamma Function using Power Series for a Fixed s. The
- * References are:
- *
- * <br><br>
- * <ul>
- * <li>
- * Geddes, K. O., M. L. Glasser, R. A. Moore, and T. C. Scott (1990): Evaluation of Classes of
- * Definite Integrals involving Elementary Functions via Differentiation of Special Functions
- * <i>Applicable Algebra in Engineering, Communications, and </i> <b>1 (2)</b> 149-165
- * </li>
- * <li>
- * Gradshteyn, I. S., I. M. Ryzhik, Y. V. Geronimus, M. Y. Tseytlin, and A. Jeffrey (2015):
- * <i>Tables of Integrals, Series, and Products</i> <b>Academic Press</b>
- * </li>
- * <li>
- * Mathar, R. J. (2010): Numerical Evaluation of the Oscillatory Integral over
- * e<sup>iπx</sup> x<sup>(1/x)</sup> between 1 and ∞
- * https://arxiv.org/pdf/0912.3844.pdf <b>arXiV</b>
- * </li>
- * <li>
- * National Institute of Standards and Technology (2019): Incomplete Gamma and Related Functions
- * https://dlmf.nist.gov/8
- * </li>
- * <li>
- * Wikipedia (2019): Incomplete Gamma Function
- * https://en.wikipedia.org/wiki/Incomplete_gamma_function
- * </li>
- * </ul>
- *
- * <br><br>
- * <ul>
- * <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ComputationalCore.md">Computational Core Module</a></li>
- * <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/FunctionAnalysisLibrary.md">Function Analysis Library</a></li>
- * <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>
- * <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>
- * </ul>
- *
- * @author Lakshmi Krishnamurthy
- */
- public abstract class LowerSFixed extends org.drip.numerical.estimation.R1ToR1Estimator
- {
- private org.drip.specialfunction.incompletegamma.LowerSFixedSeries _lowerSFixedSeries = null;
- /**
- * Construct the Weierstrass Lower S Fixed Series Incomplete Gamma Estimator
- *
- * @param s Incomplete Gamma s
- * @param termCount Count of the Number of Terms
- *
- * @return The Weierstrass Lower S Fixed Series Incomplete Gamma Estimator
- */
- public static final LowerSFixed WeierstrassLimit (
- final double s,
- final int termCount)
- {
- try
- {
- return new LowerSFixed (
- org.drip.specialfunction.incompletegamma.LowerSFixedSeries.WeierstrassLimit (
- s,
- termCount
- ),
- null
- )
- {
- @Override public double nonDimensional (
- final double z)
- throws java.lang.Exception
- {
- return weierstrassLimit (z) * java.lang.Math.exp (-1. * z);
- }
- };
- }
- catch (java.lang.Exception e)
- {
- e.printStackTrace();
- }
- return null;
- }
- /**
- * Construct the NIST (2019) Lower S Fixed Series Incomplete Gamma Estimator
- *
- * @param s Incomplete Gamma s
- * @param termCount Count of the Number of Terms
- *
- * @return The NIST (2019) Lower S Fixed Series Incomplete Gamma Estimator
- */
- public static final LowerSFixed NIST2019 (
- final double s,
- final int termCount)
- {
- try
- {
- return new LowerSFixed (
- org.drip.specialfunction.incompletegamma.LowerSFixedSeries.NIST2019 (
- s,
- termCount
- ),
- null
- )
- {
- @Override public double nonDimensional (
- final double z)
- throws java.lang.Exception
- {
- return weierstrassLimit (z);
- }
- };
- }
- catch (java.lang.Exception e)
- {
- e.printStackTrace();
- }
- return null;
- }
- /**
- * LowerSFixed Constructor
- *
- * @param lowerSFixedSeries R<sup>1</sup> To R<sup>1</sup> Lower S Fixed Limit Series
- * @param dc Differential Control
- *
- * @throws java.lang.Exception Thrown if the Inputs are Invalid
- */
- public LowerSFixed (
- final org.drip.specialfunction.incompletegamma.LowerSFixedSeries lowerSFixedSeries,
- final org.drip.numerical.differentiation.DerivativeControl dc)
- throws java.lang.Exception
- {
- super (dc);
- _lowerSFixedSeries = lowerSFixedSeries;
- }
- @Override public org.drip.numerical.estimation.R1Estimate seriesEstimateNative (
- final double x)
- {
- return null == _lowerSFixedSeries ? seriesEstimate (
- x,
- null,
- null
- ) : seriesEstimate (
- x,
- _lowerSFixedSeries.termWeightMap(),
- _lowerSFixedSeries
- );
- }
- /**
- * Compute the Limiting Weierstrass Sum
- *
- * @param z Z
- *
- * @return The Limiting Weierstrass Sum
- *
- * @throws java.lang.Exception Thrown if the Inputs are Invalid
- */
- public double weierstrassLimit (
- final double z)
- throws java.lang.Exception
- {
- return _lowerSFixedSeries.evaluate (z);
- }
- /**
- * Compute the Non-dimensional Incomplete Gamma (Weierstrass Gamma Star)
- *
- * @param z Z
- *
- * @return The Non-dimensional Incomplete Gamma (Weierstrass Gamma Star)
- *
- * @throws java.lang.Exception Thrown if the Inputs are Invalid
- */
- public abstract double nonDimensional (
- final double z)
- throws java.lang.Exception;
- @Override public double evaluate (
- final double z)
- throws java.lang.Exception
- {
- return java.lang.Math.exp (
- _lowerSFixedSeries.s() * java.lang.Math.log (z) + _lowerSFixedSeries.logGammaS()
- ) * nonDimensional (z);
- }
- }