ObjectiveFunction.java
- package org.drip.portfolioconstruction.optimizer;
- /*
- * -*- 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 Krishnamurthy0
- *
- * 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>ObjectiveFunction</i> holds the Terms composing the Objective Function and their Weights.
- *
- * <br><br>
- * <ul>
- * <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/PortfolioCore.md">Portfolio Core Module</a></li>
- * <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/AssetAllocationAnalyticsLibrary.md">Asset Allocation Analytics</a></li>
- * <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/portfolioconstruction/README.md">Portfolio Construction under Allocation Constraints</a></li>
- * <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/portfolioconstruction/optimizer/README.md">Core Portfolio Construction Optimizer Suite</a></li>
- * </ul>
- * <br><br>
- *
- * @author Lakshmi Krishnamurthy
- */
- public class ObjectiveFunction
- extends org.drip.function.definition.RdToR1
- {
- private int _dimension = -1;
- private java.util.List<org.drip.portfolioconstruction.optimizer.ObjectiveTermUnit> _objectiveTermUnitList
- = new java.util.ArrayList<org.drip.portfolioconstruction.optimizer.ObjectiveTermUnit>();
- /**
- * Empty Objective Function Constructor
- */
- public ObjectiveFunction()
- {
- super (
- null
- );
- }
- /**
- * Add the Objective Term Unit Instance
- *
- * @param objectiveTermUnit The Objective Term Unit Instance
- *
- * @return TRUE - The Objective Term Unit Instance successfully added
- */
- public boolean addObjectiveTermUnit (
- final org.drip.portfolioconstruction.optimizer.ObjectiveTermUnit objectiveTermUnit)
- {
- if (null == objectiveTermUnit || _objectiveTermUnitList.contains (
- objectiveTermUnit
- ))
- {
- return false;
- }
- _objectiveTermUnitList.add (
- objectiveTermUnit
- );
- return true;
- }
- /**
- * Retrieve the List of Objective Terms
- *
- * @return The List of Objective Terms
- */
- public java.util.List<org.drip.portfolioconstruction.optimizer.ObjectiveTermUnit> list()
- {
- return _objectiveTermUnitList;
- }
- @Override public int dimension()
- {
- return _dimension;
- }
- @Override public double evaluate (
- final double[] variateArray)
- throws java.lang.Exception
- {
- double value = 0.;
- for (org.drip.portfolioconstruction.optimizer.ObjectiveTermUnit objectiveTermUnit :
- _objectiveTermUnitList)
- {
- if (objectiveTermUnit.isActive())
- {
- value += objectiveTermUnit.weight() * objectiveTermUnit.objectiveTerm().rdtoR1().evaluate (
- variateArray
- );
- }
- }
- return value;
- }
- @Override public double derivative (
- final double[] variateArray,
- final int variateIndex,
- final int order)
- throws java.lang.Exception
- {
- double derivative = 0.;
- for (org.drip.portfolioconstruction.optimizer.ObjectiveTermUnit objectiveTermUnit :
- _objectiveTermUnitList)
- {
- if (objectiveTermUnit.isActive())
- {
- derivative += objectiveTermUnit.weight() *
- objectiveTermUnit.objectiveTerm().rdtoR1().derivative (
- variateArray,
- variateIndex,
- order
- );
- }
- }
- return derivative;
- }
- }