Evolver.java
- package org.drip.measure.joint;
- /*
- * -*- 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
- *
- * 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>Evolver</i> exposes the Functionality that guides the Multi-Factor Random Process Variable Evolution.
- *
- * <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/measure/README.md">R<sup>d</sup> Continuous/Discrete Probability Measures</a></li>
- * <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/measure/joint/README.md">R<sup>d</sup> Vertex Edge Realization Evolution</a></li>
- * </ul>
- *
- * @author Lakshmi Krishnamurthy
- */
- public abstract class Evolver {
- private double[][] _aadblCorrelation = null;
- private org.drip.measure.dynamics.LocalEvaluator[] _aLDEVDrift = null;
- private org.drip.measure.dynamics.LocalEvaluator[] _aLDEVVolatility = null;
- protected Evolver (
- final org.drip.measure.dynamics.LocalEvaluator[] aLDEVDrift,
- final org.drip.measure.dynamics.LocalEvaluator[] aLDEVVolatility,
- final double[][] aadblCorrelation)
- throws java.lang.Exception
- {
- if (null == (_aLDEVDrift = aLDEVDrift) || null == (_aLDEVVolatility = aLDEVVolatility) || null ==
- (_aadblCorrelation = aadblCorrelation))
- throw new java.lang.Exception ("Evolver Constructor => Invalid Inputs");
- int iNumFactor = _aLDEVDrift.length;
- if (0 == iNumFactor || iNumFactor != _aLDEVVolatility.length || iNumFactor !=
- _aadblCorrelation.length)
- throw new java.lang.Exception ("Evolver Constructor => Invalid Inputs");
- for (int i = 0; i < iNumFactor; ++i) {
- if (null == _aLDEVDrift[i] || null == _aLDEVVolatility[i] || null == _aadblCorrelation[i] ||
- iNumFactor != _aadblCorrelation[i].length || !org.drip.numerical.common.NumberUtil.IsValid
- (_aadblCorrelation[i]))
- throw new java.lang.Exception ("Evolver Constructor => Invalid Inputs");
- }
- }
- /**
- * Retrieve the Array of the LDEV Drift Functions of the Individual Marginal Processes
- *
- * @return The Array of the LDEV Drift Function of the Individual Marginal Processes
- */
- public org.drip.measure.dynamics.LocalEvaluator[] driftLDEV()
- {
- return _aLDEVDrift;
- }
- /**
- * Retrieve the Array of the LDEV Volatility Function of the Individual Marginal Processes
- *
- * @return The Array of the LDEV Volatility Function of the Individual Marginal Processes
- */
- public org.drip.measure.dynamics.LocalEvaluator[] volatilityLDEV()
- {
- return _aLDEVVolatility;
- }
- /**
- * Retrieve the Correlation Matrix
- *
- * @return The Correlation Matrix
- */
- public double[][] correlation()
- {
- return _aadblCorrelation;
- }
- /**
- * Generate the Adjacent Increment from the Array of the specified Random Variate
- *
- * @param js The Joint Snap
- * @param adblRandomVariate The Array of Random Variates
- * @param adblRandomUnitRealization The Array of Random Stochastic Realization Variate Units
- * @param dblTimeIncrement The Time Increment Evolution Unit
- *
- * @return The Joint Level Realization
- */
- public abstract org.drip.measure.joint.Edge increment (
- final org.drip.measure.joint.Vertex js,
- final double[] adblRandomVariate,
- final double[] adblRandomUnitRealization,
- final double dblTimeIncrement);
- /**
- * Generate the Array of the Adjacent Increments from the Array of the specified Random Variate
- *
- * @param aJS Array of Joint Snap Instances
- * @param aadblRandomVariate Array of R^d Variates
- * @param aadblRandomUnitRealization Array of R^d Stochastic Realization Units
- * @param dblTimeIncrement The Time Increment Evolution Unit
- *
- * @return Array of the Joint Level Realization
- */
- public abstract org.drip.measure.joint.Edge[][] incrementSequence (
- final org.drip.measure.joint.Vertex[] aJS,
- final double[][] aadblRandomVariate,
- final double[][] aadblRandomUnitRealization,
- final double dblTimeIncrement);
- }