ExponentialTension.java
- package org.drip.function.r1tor1;
- /*
- * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
- */
- /*!
- * Copyright (C) 2020 Lakshmi Krishnamurthy
- * Copyright (C) 2019 Lakshmi Krishnamurthy
- * Copyright (C) 2018 Lakshmi Krishnamurthy
- * Copyright (C) 2017 Lakshmi Krishnamurthy
- * Copyright (C) 2016 Lakshmi Krishnamurthy
- * Copyright (C) 2015 Lakshmi Krishnamurthy
- * Copyright (C) 2014 Lakshmi Krishnamurthy
- * Copyright (C) 2013 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>ExponentialTension</i> provides the evaluation of the Exponential Tension Function and its derivatives
- * for a specified variate.
- *
- * <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/NumericalAnalysisLibrary.md">Numerical Analysis Library</a></li>
- * <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/function/README.md">R<sup>d</sup> To R<sup>d</sup> Function Analysis</a></li>
- * <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/function/r1tor1/README.md">Built-in R<sup>1</sup> To R<sup>1</sup> Functions</a></li>
- * </ul>
- *
- * @author Lakshmi Krishnamurthy
- */
- public class ExponentialTension extends org.drip.function.definition.R1ToR1 {
- private boolean _bIsBaseNatural = false;
- private double _dblBase = java.lang.Double.NaN;
- private double _dblTension = java.lang.Double.NaN;
- /**
- * ExponentialTension constructor
- *
- * @param dblBase Base of the ExponentialTension Function
- * @param dblTension Tension of the ExponentialTension Function
- *
- * @throws java.lang.Exception Thrown if the input is invalid
- */
- public ExponentialTension (
- final double dblBase,
- final double dblTension)
- throws java.lang.Exception
- {
- super (null);
- if (!org.drip.numerical.common.NumberUtil.IsValid (_dblBase = dblBase) ||
- !org.drip.numerical.common.NumberUtil.IsValid (_dblTension = dblTension))
- throw new java.lang.Exception ("ExponentialTension ctr: Invalid Inputs");
- _bIsBaseNatural = _dblBase == java.lang.Math.E;
- }
- @Override public double evaluate (
- final double dblVariate)
- throws java.lang.Exception
- {
- if (!org.drip.numerical.common.NumberUtil.IsValid (dblVariate))
- throw new java.lang.Exception ("ExponentialTension::evaluate => Invalid Inputs");
- return _bIsBaseNatural ? java.lang.Math.exp (_dblTension * dblVariate) : java.lang.Math.pow
- (_dblBase, _dblTension * dblVariate);
- }
- @Override public double derivative (
- final double dblVariate,
- final int iOrder)
- throws java.lang.Exception
- {
- if (!org.drip.numerical.common.NumberUtil.IsValid (dblVariate) || 0 > iOrder)
- throw new java.lang.Exception ("ExponentialTension::derivative => Invalid Inputs");
- double dblDerivFactor = 1.;
- for (int i = 0; i < iOrder; ++i)
- dblDerivFactor *= _dblTension;
- return _bIsBaseNatural ? dblDerivFactor * java.lang.Math.exp (_dblTension * dblVariate) :
- dblDerivFactor * java.lang.Math.exp (_dblTension * dblVariate);
- }
- @Override public double integrate (
- final double dblBegin,
- final double dblEnd)
- throws java.lang.Exception
- {
- if (!org.drip.numerical.common.NumberUtil.IsValid (dblBegin) || !org.drip.numerical.common.NumberUtil.IsValid
- (dblEnd))
- throw new java.lang.Exception ("ExponentialTension::integrate => Invalid Inputs");
- return _bIsBaseNatural ? (java.lang.Math.exp (_dblTension * dblEnd) - java.lang.Math.exp (_dblTension
- * dblBegin)) / _dblTension : (java.lang.Math.pow (_dblBase, _dblTension * dblEnd) -
- java.lang.Math.pow (_dblBase, _dblTension * dblBegin)) / (_dblTension * java.lang.Math.log
- (_dblBase));
- }
- /**
- * Is the base natural?
- *
- * @return TRUE - Base is off of natural logarithm
- */
- public boolean isBaseNatural()
- {
- return _bIsBaseNatural;
- }
- /**
- * Retrieve the Base
- *
- * @return The Base
- */
- public double getBase()
- {
- return _dblBase;
- }
- /**
- * Retrieve the Tension Parameter
- *
- * @return Tension Parameter
- */
- public double getTension()
- {
- return _dblTension;
- }
- public static final void main (
- final java.lang.String[] astrArgs)
- throws java.lang.Exception
- {
- ExponentialTension e = new ExponentialTension (java.lang.Math.E, 2.);
- System.out.println ("E[0.0] = " + e.evaluate (0.0));
- System.out.println ("E[0.5] = " + e.evaluate (0.5));
- System.out.println ("E[1.0] = " + e.evaluate (1.0));
- System.out.println ("EDeriv[0.0] = " + e.derivative (0.0, 2));
- System.out.println ("EDeriv[0.5] = " + e.derivative (0.5, 2));
- System.out.println ("EDeriv[1.0] = " + e.derivative (1.0, 2));
- }
- }