BasisBSplineSet.java
- package org.drip.sample.spline;
- import org.drip.spline.basis.*;
- import org.drip.spline.bspline.*;
- import org.drip.spline.params.*;
- import org.drip.spline.segment.LatentStateResponseModel;
- /*
- * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
- */
- /*!
- * 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 DRIP, a free-software/open-source library for buy/side financial/trading model
- * libraries targeting analysts and developers
- * https://lakshmidrip.github.io/DRIP/
- *
- * DRIP is composed of four main libraries:
- *
- * - DRIP Fixed Income - https://lakshmidrip.github.io/DRIP-Fixed-Income/
- * - DRIP Asset Allocation - https://lakshmidrip.github.io/DRIP-Asset-Allocation/
- * - DRIP Numerical Optimizer - https://lakshmidrip.github.io/DRIP-Numerical-Optimizer/
- * - DRIP Statistical Learning - https://lakshmidrip.github.io/DRIP-Statistical-Learning/
- *
- * - DRIP Fixed Income: Library for Instrument/Trading Conventions, Treasury Futures/Options,
- * Funding/Forward/Overnight Curves, Multi-Curve Construction/Valuation, Collateral Valuation and XVA
- * Metric Generation, Calibration and Hedge Attributions, Statistical Curve Construction, Bond RV
- * Metrics, Stochastic Evolution and Option Pricing, Interest Rate Dynamics and Option Pricing, LMM
- * Extensions/Calibrations/Greeks, Algorithmic Differentiation, and Asset Backed Models and Analytics.
- *
- * - DRIP Asset Allocation: Library for model libraries for MPT framework, Black Litterman Strategy
- * Incorporator, Holdings Constraint, and Transaction Costs.
- *
- * - DRIP Numerical Optimizer: Library for Numerical Optimization and Spline Functionality.
- *
- * - DRIP Statistical Learning: Library for Statistical Evaluation and Machine Learning.
- *
- * 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.
- */
- /**
- * BasisSplineSet implements Samples for the Construction and the usage of various basis spline functions. It
- * demonstrates the following:
- * - Construction of segment control parameters - polynomial (regular/Bernstein) segment control,
- * exponential/hyperbolic tension segment control, Kaklis-Pandelis tension segment control, and C1
- * Hermite.
- * - Control the segment using the rational shape controller, and the appropriate Ck.
- * - Estimate the node value and the node value Jacobian with the segment, as well as at the boundaries.
- * - Calculate the segment monotonicity.
- * @author Lakshmi Krishnamurthy
- */
- public class BasisBSplineSet {
- /*
- * This sample demonstrates construction and usage of B Spline hat functions over solitary segments. It
- * shows the constructions of left/right segments, their calibration, and Jacobian evaluation.
- *
- * USE WITH CARE: This sample ignores errors and does not handle exceptions.
- */
- private static final void TestSpline (
- final FunctionSet fs,
- final ResponseScalingShapeControl rssc,
- final SegmentInelasticDesignControl segParams)
- throws Exception
- {
- /*
- * Construct the left and the right segments
- */
- LatentStateResponseModel seg1 = LatentStateResponseModel.Create (
- 1.0,
- 1.5,
- fs,
- rssc,
- segParams
- );
- /*
- * Calibrate the left segment using the node values, and compute the segment Jacobian
- */
- System.out.println (
- seg1.calibrate (
- 25.,
- 0.,
- 20.25,
- null
- )
- );
- System.out.println ("\tY[" + 1.0 + "]: " + seg1.responseValue (1.));
- System.out.println ("\tY[" + 1.5 + "]: " + seg1.responseValue (1.5));
- }
- /*
- * This sample demonstrates the construction and usage of the Basis B Spline Set Functionality. It shows
- * the following:
- * - Set up the B Spline Sequence Parameters for the Cubic Rational Hat Type, Linear Shape Controller,
- * using the specified tension and derivative order parameters.
- * - Setup the B Spline Basis Set.
- * - Construct the segment inelastic parameter that is C2 (iK = 2 sets it to C2), with second order
- * curvature penalty, and without constraint.
- * - Construct and Evaluate the B Spline.
- *
- * USE WITH CARE: This sample ignores errors and does not handle exceptions.
- */
- private static final void BasisBSplineSetSample()
- throws Exception
- {
- /*
- * Set up the B Spline Sequence Parameters for the Cubic Rational Hat Type, Linear Shape Controller,
- * using the specified tension and derivative order parameters.
- */
- BSplineSequenceParams bssp = new BSplineSequenceParams (
- BasisHatPairGenerator.PROCESSED_CUBIC_RATIONAL,
- BasisHatShapeControl.SHAPE_CONTROL_RATIONAL_LINEAR,
- 2,
- 4,
- 1.,
- 2);
- /*
- * Setup the B Spline Basis Set
- */
- FunctionSet fsBSS = FunctionSetBuilder.BSplineBasisSet (bssp);
- /*
- * Construct the segment inelastic parameter that is C2 (iK = 2 sets it to C2), with second order
- * curvature penalty, and without constraint
- */
- int iK = 2;
- int iCurvaturePenaltyDerivativeOrder = 2;
- SegmentInelasticDesignControl segParams = SegmentInelasticDesignControl.Create (
- iK,
- iCurvaturePenaltyDerivativeOrder
- );
- /*
- * Construct and Evaluate the B Spline
- */
- TestSpline (
- fsBSS,
- null,
- segParams
- );
- }
- public static final void main (
- final String[] astrArgs)
- throws Exception
- {
- BasisBSplineSetSample();
- }
- }