MatrixComplementTransform.java
- package org.drip.numerical.linearalgebra;
- /*
- * -*- 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>MatrixComplementTransform</i> holds the results of Matrix transforms on the source and the complement,
- * e.g., during a Matrix Inversion Operation.
- *
- * <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/numerical/README.md">Numerical Quadrature, Differentiation, Eigenization, Linear Algebra, and Utilities</a></li>
- * <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/numerical/linearalgebra/README.md">Linear Algebra Matrix Transform Library</a></li>
- * </ul>
- * <br><br>
- *
- * @author Lakshmi Krishnamurthy
- */
- public class MatrixComplementTransform {
- private double[][] _aadblSource = null;
- private double[][] _aadblComplement = null;
- /**
- * MatrixComplementTransform constructor
- *
- * @param aadblSource Transformed Source Matrix
- * @param aadblComplement Transformed Complement Matrix
- *
- * @throws java.lang.Exception Thrown if the inputs are invalid
- */
- public MatrixComplementTransform (
- final double[][] aadblSource,
- final double[][] aadblComplement)
- throws java.lang.Exception
- {
- if (null == (_aadblSource = aadblSource) || null == (_aadblComplement = aadblComplement))
- throw new java.lang.Exception ("MatrixComplementTransform ctr: Invalid Inputs");
- int iSize = _aadblSource.length;
- if (0 == iSize || iSize != _aadblSource.length || iSize != _aadblSource[0].length || iSize !=
- _aadblComplement.length || iSize != _aadblComplement[0].length)
- throw new java.lang.Exception ("MatrixComplementTransform ctr: Invalid Inputs");
- }
- /**
- * Retrieve the Transformed Source
- *
- * @return The Transformed Source
- */
- public double[][] getSource()
- {
- return _aadblSource;
- }
- /**
- * Retrieve the Transformed Complement
- *
- * @return The Transformed Complement
- */
- public double[][] getComplement()
- {
- return _aadblComplement;
- }
- /**
- * Retrieve the Dimension Length
- *
- * @return The Dimension Length
- */
- public int size()
- {
- return _aadblComplement.length;
- }
- }