BestFitFlexurePenalizer.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>BestFitFlexurePenalizer</i> implements the Segment's Best Fit, Curvature, and Length Penalizers. It
- * provides the following functionality:
- *
- * <br><br>
- * <ul>
- * <li>
- * Compute the Cross-Curvature Penalty for the given Basis Pair
- * </li>
- * <li>
- * Compute the Cross-Length Penalty for the given Basis Pair
- * </li>
- * <li>
- * Compute the Best Fit Cross-Product Penalty for the given Basis Pair
- * </li>
- * <li>
- * Compute the Basis Pair Penalty Coefficient for the Best Fit and the Curvature Penalties
- * </li>
- * <li>
- * Compute the Penalty Constraint for the Basis Pair
- * </li>
- * </ul>
- *
- * <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 BestFitFlexurePenalizer {
- private org.drip.spline.segment.BasisEvaluator _lbe = null;
- private org.drip.spline.segment.LatentStateInelastic _ics = null;
- private org.drip.spline.params.SegmentBestFitResponse _sbfr = null;
- private org.drip.spline.params.SegmentFlexurePenaltyControl _sfpcLength = null;
- private org.drip.spline.params.SegmentFlexurePenaltyControl _sfpcCurvature = null;
- /**
- * BestFitFlexurePenalizer constructor
- *
- * @param ics Segment Inelastics
- * @param sfpcCurvature Curvature Penalty Parameters
- * @param sfpcLength Length Penalty Parameters
- * @param sbfr Best Fit Weighted Response
- * @param lbe The Local Basis Evaluator
- *
- * @throws java.lang.Exception Thrown if the Inputs are Invalid
- */
- public BestFitFlexurePenalizer (
- final org.drip.spline.segment.LatentStateInelastic ics,
- final org.drip.spline.params.SegmentFlexurePenaltyControl sfpcCurvature,
- final org.drip.spline.params.SegmentFlexurePenaltyControl sfpcLength,
- final org.drip.spline.params.SegmentBestFitResponse sbfr,
- final org.drip.spline.segment.BasisEvaluator lbe)
- throws java.lang.Exception
- {
- if (null == (_lbe = lbe) || null == (_ics = ics))
- throw new java.lang.Exception ("BestFitFlexurePenalizer ctr: Invalid Inputs");
- _sbfr = sbfr;
- _sfpcLength = sfpcLength;
- _sfpcCurvature = sfpcCurvature;
- }
- /**
- * Compute the Cross-Curvature Penalty for the given Basis Pair
- *
- * @param iBasisIndexI I Basis Index (I is the Summation Index)
- * @param iBasisIndexR R Basis Index (R is the Separator Index)
- *
- * @return The Cross-Curvature Penalty for the given Basis Pair
- *
- * @throws java.lang.Exception Thrown if the Cross-Curvature Penalty cannot be computed
- */
- public double basisPairCurvaturePenalty (
- final int iBasisIndexI,
- final int iBasisIndexR)
- throws java.lang.Exception
- {
- if (null == _sfpcCurvature) return 0.;
- org.drip.function.definition.R1ToR1 au = new org.drip.function.definition.R1ToR1
- (null) {
- @Override public double evaluate (
- final double dblVariate)
- throws Exception
- {
- int iOrder = _sfpcCurvature.derivativeOrder();
- return _lbe.shapedBasisFunctionDerivative (dblVariate, iOrder, iBasisIndexI) *
- _lbe.shapedBasisFunctionDerivative (dblVariate, iOrder, iBasisIndexR);
- }
- @Override public double integrate (
- final double dblBegin,
- final double dblEnd)
- throws java.lang.Exception
- {
- return org.drip.numerical.integration.R1ToR1Integrator.Boole (this, dblBegin, dblEnd);
- }
- };
- return _sfpcCurvature.amplitude() * au.integrate (_ics.left(), _ics.right());
- }
- /**
- * Compute the Cross-Length Penalty for the given Basis Pair
- *
- * @param iBasisIndexI I Basis Index (I is the Summation Index)
- * @param iBasisIndexR R Basis Index (R is the Separator Index)
- *
- * @return The Cross-Length Penalty for the given Basis Pair
- *
- * @throws java.lang.Exception Thrown if the Cross-Length Penalty cannot be computed
- */
- public double basisPairLengthPenalty (
- final int iBasisIndexI,
- final int iBasisIndexR)
- throws java.lang.Exception
- {
- if (null == _sfpcLength) return 0.;
- org.drip.function.definition.R1ToR1 au = new org.drip.function.definition.R1ToR1
- (null) {
- @Override public double evaluate (
- final double dblVariate)
- throws Exception
- {
- int iOrder = _sfpcLength.derivativeOrder();
- return _lbe.shapedBasisFunctionDerivative (dblVariate, iOrder, iBasisIndexI) *
- _lbe.shapedBasisFunctionDerivative (dblVariate, iOrder, iBasisIndexR);
- }
- @Override public double integrate (
- final double dblBegin,
- final double dblEnd)
- throws java.lang.Exception
- {
- return org.drip.numerical.integration.R1ToR1Integrator.Boole (this, dblBegin, dblEnd);
- }
- };
- return _sfpcLength.amplitude() * au.integrate (_ics.left(), _ics.right());
- }
- /**
- * Compute the Best Fit Cross-Product Penalty for the given Basis Pair
- *
- * @param iBasisIndexI I Basis Index (I is the Summation Index)
- * @param iBasisIndexR R Basis Index (R is the Separator Index)
- *
- * @return The Best Fit Cross-Product Penalty for the given Basis Pair
- *
- * @throws java.lang.Exception Thrown if the Best Fit Cross-Product Penalty cannot be computed
- */
- public double basisBestFitPenalty (
- final int iBasisIndexI,
- final int iBasisIndexR)
- throws java.lang.Exception
- {
- if (null == _sbfr) return 0.;
- int iNumPoint = _sbfr.numPoint();
- if (0 == iNumPoint) return 0.;
- double dblBasisPairFitnessPenalty = 0.;
- for (int i = 0; i < iNumPoint; ++i) {
- double dblPredictorOrdinate = _sbfr.predictorOrdinate (i);
- dblBasisPairFitnessPenalty += _sbfr.weight (i) * _lbe.shapedBasisFunctionResponse
- (dblPredictorOrdinate, iBasisIndexI) * _lbe.shapedBasisFunctionResponse
- (dblPredictorOrdinate, iBasisIndexR);
- }
- return dblBasisPairFitnessPenalty / iNumPoint;
- }
- /**
- * Compute the Basis Pair Penalty Coefficient for the Best Fit and the Curvature Penalties
- *
- * @param iBasisIndexI I Basis Index (I is the Summation Index)
- * @param iBasisIndexR R Basis Index (R is the Separator Index)
- *
- * @throws java.lang.Exception Thrown if the Inputs are Invalid
- *
- * @return The Basis Pair Penalty Coefficient for the Fitness and the Curvature Penalties
- */
- public double basisPairConstraintCoefficient (
- final int iBasisIndexI,
- final int iBasisIndexR)
- throws java.lang.Exception
- {
- return basisPairCurvaturePenalty (iBasisIndexI, iBasisIndexR) + basisPairLengthPenalty (iBasisIndexI,
- iBasisIndexR) + basisBestFitPenalty (iBasisIndexI, iBasisIndexR);
- }
- /**
- * Compute the Penalty Constraint for the Basis Pair
- *
- * @param iBasisIndexR R Basis Index (R is the Separator Index)
- *
- * @return Penalty Constraint for the Basis Pair
- *
- * @throws java.lang.Exception Thrown if the Inputs are invalid
- */
- public double basisPairPenaltyConstraint (
- final int iBasisIndexR)
- throws java.lang.Exception
- {
- if (null == _sbfr) return 0.;
- int iNumPoint = _sbfr.numPoint();
- if (0 == iNumPoint) return 0.;
- double dblBasisPairPenaltyConstraint = 0.;
- for (int i = 0; i < iNumPoint; ++i) {
- double dblPredictorOrdinate = _sbfr.predictorOrdinate (i);
- dblBasisPairPenaltyConstraint += _sbfr.weight (i) * _lbe.shapedBasisFunctionResponse
- (dblPredictorOrdinate, iBasisIndexR) * _sbfr.response (i);
- }
- return dblBasisPairPenaltyConstraint / iNumPoint;
- }
- }