LatentStateManifestSensitivity.java

package org.drip.spline.segment;

/*
 * -*- 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>LatentStateManifestSensitivity</i> contains the Manifest Sensitivity generation control parameters and
 * the Manifest Sensitivity outputs related to the given Segment.
 *
 * <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/SplineBuilderLibrary.md">Spline Builder Library</a></li>
 *		<li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/spline/README.md">Basis Splines and Linear Compounders across a Broad Family of Spline Basis Functions</a></li>
 *		<li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/spline/segment/README.md">Flexure Penalizing Best Fit Segment</a></li>
 *  </ul>
 * <br><br>
 *
 * @author Lakshmi Krishnamurthy
 */

public class LatentStateManifestSensitivity {
	private double[] _adblDBasisCoeffDLocalManifest = null;
	private double[] _adblDBasisCoeffDPreceedingManifest = null;
	private double _dblDResponseDPreceedingManifest = java.lang.Double.NaN;
	private org.drip.spline.params.PreceedingManifestSensitivityControl _pmsc = null;

	/**
	 * LatentStateManifestSensitivity constructor
	 * 
	 * @param pmsc The Preceeding Manifest Measure Sensitivity Control Parameters
	 * 
	 * @throws java.lang.Exception Thrown if the Inputs are invalid
	 */

	public LatentStateManifestSensitivity (
		final org.drip.spline.params.PreceedingManifestSensitivityControl pmsc)
		throws java.lang.Exception
	{
		if (null == (_pmsc = pmsc))
			_pmsc = new org.drip.spline.params.PreceedingManifestSensitivityControl (true, 0, null);
	}

	/**
	 * Set the Array containing the Sensitivities of the Basis Coefficients to the Local Manifest Measure
	 * 
	 * @param adblDBasisCoeffDLocalManifest The Array containing the Sensitivities of the Basis Coefficients
	 * 	to the Local Manifest Measure
	 * 
	 * @return TRUE - Basis Coefficient Manifest Measure Sensitivity Array Entries successfully set
	 */

	public boolean setDBasisCoeffDLocalManifest (
		final double[] adblDBasisCoeffDLocalManifest)
	{
		if (null == adblDBasisCoeffDLocalManifest) return false;

		int iNumCoeff = adblDBasisCoeffDLocalManifest.length;
		_adblDBasisCoeffDLocalManifest = new double[iNumCoeff];

		if (0 == iNumCoeff) return false;

		for (int i = 0; i < iNumCoeff; ++i) {
			if (!org.drip.numerical.common.NumberUtil.IsValid (_adblDBasisCoeffDLocalManifest[i] =
				adblDBasisCoeffDLocalManifest[i]))
				return false;
		}

		return true;
	}

	/**
	 * Get the Array containing the Sensitivities of the Basis Coefficients to the Local Manifest Measure
	 * 
	 * @return The Array containing the Sensitivities of the Basis Coefficients to the Local Manifest Measure
	 */

	public double[] getDBasisCoeffDLocalManifest()
	{
		return _adblDBasisCoeffDLocalManifest;
	}

	/**
	 * Set the Array containing the Sensitivities of the Basis Coefficients to the Preceeding Manifest
	 * 	Measure
	 * 
	 * @param adblDBasisCoeffDPreceedingManifest The Array containing the Sensitivities of the Basis
	 *  Coefficients to the Preceeding Manifest Measure
	 * 
	 * @return TRUE - Array Entries successfully set
	 */

	public boolean setDBasisCoeffDPreceedingManifest (
		final double[] adblDBasisCoeffDPreceedingManifest)
	{
		if (null == adblDBasisCoeffDPreceedingManifest) return false;

		int iNumCoeff = adblDBasisCoeffDPreceedingManifest.length;
		_adblDBasisCoeffDPreceedingManifest= new double[iNumCoeff];

		if (0 == iNumCoeff) return false;

		for (int i = 0; i < iNumCoeff; ++i) {
			if (!org.drip.numerical.common.NumberUtil.IsValid (_adblDBasisCoeffDPreceedingManifest[i] =
				adblDBasisCoeffDPreceedingManifest[i]))
				return false;
		}

		return true;
	}

	/**
	 * Get the Array containing the Sensitivities of the Basis Coefficients to the Preceeding Manifest
	 *	Measure
	 * 
	 * @return The Array containing the Sensitivities of the Basis Coefficients to the Preceeding Manifest
	 * 	Measure
	 */

	public double[] getDBasisCoeffDPreceedingManifest()
	{
		return _adblDBasisCoeffDPreceedingManifest;
	}

	/**
	 * Set the Sensitivity of the Segment Response to the Preceeding Manifest Measure
	 * 
	 * @param dblDResponseDPreceedingManifest Sensitivity of the Segment Response to the Preceeding Manifest
	 * 	Measure
	 * 
	 * @return TRUE - Sensitivity of the Segment Response to the Preceeding Manifest Measure successfully
	 * 	set
	 */

	public boolean setDResponseDPreceedingManifest (
		final double dblDResponseDPreceedingManifest)
	{
		if (!org.drip.numerical.common.NumberUtil.IsValid (dblDResponseDPreceedingManifest)) return false;

		_dblDResponseDPreceedingManifest = dblDResponseDPreceedingManifest;
		return true;
	}

	/**
	 * Get the Sensitivity of the Segment Response to the Preceeding Manifest Measure
	 * 
	 * @return The Sensitivity of the Segment Response to the Preceeding Manifest Measure
	 */

	public double getDResponseDPreceedingManifest()
	{
		return _dblDResponseDPreceedingManifest;
	}

	/**
	 * Get the Preceeding Manifest Measure Sensitivity Control Parameters
	 * 
	 * @return The Preceeding Manifest Measure Sensitivity Control Parameters
	 */

	public org.drip.spline.params.PreceedingManifestSensitivityControl getPMSC()
	{
		return _pmsc;
	}
}