NecessarySufficientConditions.java
- package org.drip.optimization.constrained;
- /*
- * -*- 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
- *
- * 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>NecessarySufficientConditions</i> holds the Results of the Verification of the Necessary and the
- * Sufficient Conditions at the specified (possibly) Optimal Variate and the corresponding Fritz John
- * Multiplier Suite. The References are:
- *
- * <br><br>
- * <ul>
- * <li>
- * Boyd, S., and L. van den Berghe (2009): <i>Convex Optimization</i> <b>Cambridge University
- * Press</b> Cambridge UK
- * </li>
- * <li>
- * Eustaquio, R., E. Karas, and A. Ribeiro (2008): <i>Constraint Qualification for Nonlinear
- * Programming</i> <b>Federal University of Parana</b>
- * </li>
- * <li>
- * Karush, A. (1939): <i>Minima of Functions of Several Variables with Inequalities as Side
- * Constraints</i> <b>University of Chicago</b> Chicago IL
- * </li>
- * <li>
- * Kuhn, H. W., and A. W. Tucker (1951): Nonlinear Programming <i>Proceedings of the Second Berkeley
- * Symposium</i> <b>University of California</b> Berkeley CA 481-492
- * </li>
- * <li>
- * Ruszczynski, A. (2006): <i>Nonlinear Optimization</i> <b>Princeton University Press</b> Princeton
- * NJ
- * </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/NumericalOptimizerLibrary.md">Numerical Optimizer Library</a></li>
- * <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/optimization/README.md">Necessary, Sufficient, and Regularity Checks for Gradient Descent in a Constrained Optimization Setup</a></li>
- * <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/optimization/constrained/README.md">KKT Fritz-John Constrained Optimizer</a></li>
- * </ul>
- *
- * @author Lakshmi Krishnamurthy
- */
- public class NecessarySufficientConditions {
- private double[] _adblVariate = null;
- private boolean _bCheckForMinima = false;
- private org.drip.optimization.constrained.FritzJohnMultipliers _fjm = null;
- private org.drip.optimization.necessary.ConditionQualifierFONC _cqFONC = null;
- private org.drip.optimization.necessary.ConditionQualifierSOSC _cqSOSC = null;
- private org.drip.optimization.necessary.ConditionQualifierDualFeasibility _cqDualFeasibility = null;
- private org.drip.optimization.necessary.ConditionQualifierPrimalFeasibility _cqPrimalFeasibility =
- null;
- private org.drip.optimization.necessary.ConditionQualifierComplementarySlackness
- _cqComplementarySlackness = null;
- /**
- * Create a Standard Instance of NecessarySufficientConditions
- *
- * @param adblVariate The Candidate Variate Array
- * @param fjm The Fritz John Multipliers
- * @param bCheckForMinima TRUE - Check For Minima
- * @param bPrimalFeasibilityValidity The Primal Feasibility Validity
- * @param bDualFeasibilityValidity The Dual Feasibility Validity
- * @param bComplementarySlacknessValidity The Complementary Slackness Validity
- * @param bFONCValidity The FONC Validity
- * @param bSOSCValidity The SOSC Validity
- *
- * @return The Standard NecessarySufficientConditions Instance
- */
- public static final NecessarySufficientConditions Standard (
- final double[] adblVariate,
- final org.drip.optimization.constrained.FritzJohnMultipliers fjm,
- final boolean bCheckForMinima,
- final boolean bPrimalFeasibilityValidity,
- final boolean bDualFeasibilityValidity,
- final boolean bComplementarySlacknessValidity,
- final boolean bFONCValidity,
- final boolean bSOSCValidity)
- {
- try {
- return new NecessarySufficientConditions (adblVariate, fjm, bCheckForMinima, new
- org.drip.optimization.necessary.ConditionQualifierPrimalFeasibility
- (bPrimalFeasibilityValidity), new
- org.drip.optimization.necessary.ConditionQualifierDualFeasibility
- (bDualFeasibilityValidity), new
- org.drip.optimization.necessary.ConditionQualifierComplementarySlackness
- (bComplementarySlacknessValidity), new
- org.drip.optimization.necessary.ConditionQualifierFONC
- (bFONCValidity), new
- org.drip.optimization.necessary.ConditionQualifierSOSC
- (bSOSCValidity));
- } catch (java.lang.Exception e) {
- e.printStackTrace();
- }
- return null;
- }
- /**
- * NecessarySufficientConditions Constructor
- *
- * @param adblVariate The Candidate Variate Array
- * @param fjm The Fritz John Multipliers
- * @param bCheckForMinima TRUE - Check For Minima
- * @param cqPrimalFeasibility The Primal Feasibility Necessary Condition
- * @param cqDualFeasibility The Dual Feasibility Necessary Condition
- * @param cqComplementarySlackness The Complementary Slackness Necessary Condition
- * @param cqFONC The First Order Necessary Condition
- * @param cqSOSC The Second Order Sufficiency Condition
- *
- * @throws java.lang.Exception Thrown if the Inputs are Invalid
- */
- public NecessarySufficientConditions (
- final double[] adblVariate,
- final org.drip.optimization.constrained.FritzJohnMultipliers fjm,
- final boolean bCheckForMinima,
- final org.drip.optimization.necessary.ConditionQualifierPrimalFeasibility cqPrimalFeasibility,
- final org.drip.optimization.necessary.ConditionQualifierDualFeasibility cqDualFeasibility,
- final org.drip.optimization.necessary.ConditionQualifierComplementarySlackness
- cqComplementarySlackness,
- final org.drip.optimization.necessary.ConditionQualifierFONC cqFONC,
- final org.drip.optimization.necessary.ConditionQualifierSOSC cqSOSC)
- throws java.lang.Exception
- {
- if (null == (_adblVariate = adblVariate) || 0 == _adblVariate.length || null == (_fjm = fjm) || null
- == (_cqPrimalFeasibility = cqPrimalFeasibility) || null == (_cqDualFeasibility =
- cqDualFeasibility) || null == (_cqComplementarySlackness = cqComplementarySlackness) || null
- == (_cqFONC = cqFONC) || null == (_cqSOSC = cqSOSC))
- throw new java.lang.Exception ("NecessarySufficientConditions Constructor => Invalid Inputs");
- _bCheckForMinima = bCheckForMinima;
- }
- /**
- * Retrieve the Candidate Variate Array
- *
- * @return The Candidate Variate Array
- */
- public double[] variate()
- {
- return _adblVariate;
- }
- /**
- * Retrieve the Fritz John Mutipliers
- *
- * @return The Fritz John Mutipliers
- */
- public org.drip.optimization.constrained.FritzJohnMultipliers fritzJohnMultipliers()
- {
- return _fjm;
- }
- /**
- * Retrieve if the Check corresponds to Local Minima
- *
- * @return TRUE - The Check corresponds to Local Minima
- */
- public boolean checkFroMinima()
- {
- return _bCheckForMinima;
- }
- /**
- * Retrieve the Primal Feasibility Necessary Condition
- *
- * @return The Primal Feasibility Necessary Condition
- */
- public org.drip.optimization.necessary.ConditionQualifierPrimalFeasibility primalFeasibility()
- {
- return _cqPrimalFeasibility;
- }
- /**
- * Retrieve the Dual Feasibility Necessary Condition
- *
- * @return The Dual Feasibility Necessary Condition
- */
- public org.drip.optimization.necessary.ConditionQualifierDualFeasibility dualFeasibility()
- {
- return _cqDualFeasibility;
- }
- /**
- * Retrieve the Complementary Slackness Necessary Condition
- *
- * @return The Complementary Slackness Necessary Condition
- */
- public org.drip.optimization.necessary.ConditionQualifierComplementarySlackness
- complementarySlackness()
- {
- return _cqComplementarySlackness;
- }
- /**
- * Retrieve the First Order Necessary Condition
- *
- * @return The First Order Necessary Condition
- */
- public org.drip.optimization.necessary.ConditionQualifierFONC fonc()
- {
- return _cqFONC;
- }
- /**
- * Retrieve the Second Order Sufficiency Condition
- *
- * @return The Second Order Sufficiency Condition
- */
- public org.drip.optimization.necessary.ConditionQualifierSOSC sosc()
- {
- return _cqSOSC;
- }
- /**
- * Indicate the Necessary/Sufficient Validity across all the Condition Qualifiers
- *
- * @return TRUE - The Necessary/Sufficient Criteria is satisfied across all the Condition Qualifiers
- */
- public boolean valid()
- {
- return _cqPrimalFeasibility.valid() && _cqDualFeasibility.valid() &&
- _cqComplementarySlackness.valid() && _cqFONC.valid() && _cqSOSC.valid();
- }
- /**
- * Retrieve the Array of Condition Orders
- *
- * @return The Array of Condition Orders
- */
- public java.lang.String[] conditionOrder()
- {
- return new java.lang.String[] {"ZERO ORDER: " + _cqPrimalFeasibility.display() + " >> " +
- _cqDualFeasibility.display() + " >> " + _cqComplementarySlackness.display(), "FIRST ORDER: " +
- _cqFONC.display(), "SECOND ORDER: " + _cqSOSC.display()};
- }
- }