ConvergenceControl.java
package org.drip.function.rdtor1solver;
/*
* -*- 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>ConvergenceControl</i> contains the R<sup>d</sup> To R<sup>1</sup> Convergence Control/Tuning
* Parameters.
*
* <br><br>
* <ul>
* <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/NumericalCore.md">Numerical Core Module</a></li>
* <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/NumericalOptimizerLibrary.md">Numerical Optimizer</a></li>
* <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/feed/README.md">Function</a></li>
* <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/feed/rdtor1solver/README.md">R<sup>d</sup> To R<sup>1</sup> Solver</a></li>
* </ul>
*
* @author Lakshmi Krishnamurthy
*/
public class ConvergenceControl
{
/**
* Solve Using the Convergence of the Objective Function Realization
*/
public static final int OBJECTIVE_FUNCTION_SEQUENCE_CONVERGENCE = 1;
/**
* Solve Using the Convergence of the Variate/Constraint Multiplier Tuple Realization
*/
public static final int VARIATE_CONSTRAINT_SEQUENCE_CONVERGENCE = 2;
private int _finderStepCount = -1;
private double _absoluteTolerance = java.lang.Double.NaN;
private double _relativeTolerance = java.lang.Double.NaN;
private int _convergenceType = VARIATE_CONSTRAINT_SEQUENCE_CONVERGENCE;
/**
* Construct a Standard ConvergenceControl Instance
*
* @return The Standard ConvergenceControl Instance
*/
public static ConvergenceControl Standard()
{
try
{
return new ConvergenceControl (
VARIATE_CONSTRAINT_SEQUENCE_CONVERGENCE,
5.0e-02,
1.0e-06,
70
);
}
catch (java.lang.Exception e)
{
e.printStackTrace();
}
return null;
}
/**
* ConvergenceControl Constructor
*
* @param convergenceType The Convergence Type
* @param relativeTolerance The Objective Function Relative Tolerance
* @param absoluteTolerance The Objective Function Absolute Tolerance
* @param finderStepCount The Number of the Fixed Point Finder Steps
*
* @throws java.lang.Exception Thrown if the Inputs are Invalid
*/
public ConvergenceControl (
final int convergenceType,
final double relativeTolerance,
final double absoluteTolerance,
final int finderStepCount)
throws java.lang.Exception
{
if (!org.drip.numerical.common.NumberUtil.IsValid (_relativeTolerance = relativeTolerance) ||
!org.drip.numerical.common.NumberUtil.IsValid (_absoluteTolerance = absoluteTolerance) ||
1 > (_finderStepCount = finderStepCount))
{
throw new java.lang.Exception ("ConvergenceControl Constructor => Invalid Inputs");
}
_convergenceType = convergenceType;
}
/**
* Retrieve the Convergence Type
*
* @return The Convergence Type
*/
public int convergenceType()
{
return _convergenceType;
}
/**
* Retrieve the Number of Finder Steps
*
* @return The Number of Finder Steps
*/
public int finderStepCount()
{
return _finderStepCount;
}
/**
* Retrieve the Relative Tolerance
*
* @return The Relative Tolerance
*/
public double relativeTolerance()
{
return _relativeTolerance;
}
/**
* Retrieve the Absolute Tolerance
*
* @return The Absolute Tolerance
*/
public double absoluteTolerance()
{
return _absoluteTolerance;
}
}