TensionProcessedBasisHat.java
package org.drip.spline.bspline;
/*
* -*- 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>TensionProcessedBasisHat</i> implements the processed hat basis function of the form laid out in the
* basic framework outlined in Koch and Lyche (1989), Koch and Lyche (1993), and Kvasov (2000) Papers.
*
* <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/bspline/README.md">de Boor Rational/Exponential/Tension B-Splines</a></li>
* </ul>
* <br><br>
*
* @author Lakshmi Krishnamurthy
*/
public class TensionProcessedBasisHat extends org.drip.spline.bspline.TensionBasisHat {
private int _iDerivOrder = -1;
private org.drip.spline.bspline.TensionBasisHat _tbhRaw = null;
/**
* TensionProcessedBasisHat constructor
*
* @param tbhRaw The Raw TBH
* @param iDerivOrder Derivative Order off of the Raw TBH
*
* @throws java.lang.Exception Thrown if the input is invalid
*/
public TensionProcessedBasisHat (
final org.drip.spline.bspline.TensionBasisHat tbhRaw,
final int iDerivOrder)
throws java.lang.Exception
{
super (tbhRaw.left(), tbhRaw.right(), tbhRaw.tension());
if (null == (_tbhRaw = tbhRaw) || 0 >= (_iDerivOrder = iDerivOrder))
throw new java.lang.Exception ("TensionProcessedBasisHat ctr: Invalid Input");
}
@Override public double evaluate (
final double dblPredictorOrdinate)
throws java.lang.Exception
{
return in (dblPredictorOrdinate) ? _tbhRaw.derivative (dblPredictorOrdinate, _iDerivOrder) : 0.;
}
@Override public double derivative (
final double dblPredictorOrdinate,
final int iOrder)
throws java.lang.Exception
{
if (0 > iOrder)
throw new java.lang.Exception ("TensionProcessedBasisHat::derivative => Invalid Inputs");
if (!in (dblPredictorOrdinate)) return 0.;
return _tbhRaw.derivative (dblPredictorOrdinate, iOrder + _iDerivOrder);
}
@Override public double integrate (
final double dblBegin,
final double dblEnd)
throws java.lang.Exception
{
if (!org.drip.numerical.common.NumberUtil.IsValid (dblBegin) || !org.drip.numerical.common.NumberUtil.IsValid
(dblEnd))
throw new java.lang.Exception ("TensionProcessedBasisHat::integrate => Invalid Inputs");
double dblBoundedBegin = org.drip.numerical.common.NumberUtil.Bound (dblBegin, left(), right());
double dblBoundedEnd = org.drip.numerical.common.NumberUtil.Bound (dblEnd, left(), right());
if (dblBoundedBegin >= dblBoundedEnd) return 0.;
if (1 == _iDerivOrder) return _tbhRaw.evaluate (dblBoundedEnd) - _tbhRaw.evaluate (dblBoundedBegin);
return _tbhRaw.derivative (dblBoundedEnd, _iDerivOrder - 1) - _tbhRaw.derivative (dblBoundedBegin,
_iDerivOrder - 1);
}
@Override public double normalizer()
throws java.lang.Exception
{
if (1 == _iDerivOrder) return _tbhRaw.evaluate (right()) - _tbhRaw.evaluate (left());
return _tbhRaw.derivative (right(), _iDerivOrder - 1) - _tbhRaw.derivative (left(), _iDerivOrder -
1);
}
}