MidPointIntegrator.java
- /*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements. See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You 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
- *
- * https://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.
- */
- /*
- * This is not the original file distributed by the Apache Software Foundation
- * It has been modified by the Hipparchus project
- */
- package org.hipparchus.analysis.integration;
- import org.hipparchus.exception.LocalizedCoreFormats;
- import org.hipparchus.exception.MathIllegalArgumentException;
- import org.hipparchus.exception.MathIllegalStateException;
- import org.hipparchus.util.FastMath;
- /**
- * Implements the <a href="http://en.wikipedia.org/wiki/Midpoint_method">
- * Midpoint Rule</a> for integration of real univariate functions. For
- * reference, see <b>Numerical Mathematics</b>, ISBN 0387989595,
- * chapter 9.2.
- * <p>
- * The function should be integrable.</p>
- *
- */
- public class MidPointIntegrator extends BaseAbstractUnivariateIntegrator {
- /** Maximum number of iterations for midpoint. */
- public static final int MIDPOINT_MAX_ITERATIONS_COUNT = 64;
- /**
- * Build a midpoint integrator with given accuracies and iterations counts.
- * @param relativeAccuracy relative accuracy of the result
- * @param absoluteAccuracy absolute accuracy of the result
- * @param minimalIterationCount minimum number of iterations
- * @param maximalIterationCount maximum number of iterations
- * (must be less than or equal to {@link #MIDPOINT_MAX_ITERATIONS_COUNT}
- * @exception MathIllegalArgumentException if minimal number of iterations
- * is not strictly positive
- * @exception MathIllegalArgumentException if maximal number of iterations
- * is lesser than or equal to the minimal number of iterations
- * @exception MathIllegalArgumentException if maximal number of iterations
- * is greater than {@link #MIDPOINT_MAX_ITERATIONS_COUNT}
- */
- public MidPointIntegrator(final double relativeAccuracy,
- final double absoluteAccuracy,
- final int minimalIterationCount,
- final int maximalIterationCount)
- throws MathIllegalArgumentException {
- super(relativeAccuracy, absoluteAccuracy, minimalIterationCount, maximalIterationCount);
- if (maximalIterationCount > MIDPOINT_MAX_ITERATIONS_COUNT) {
- throw new MathIllegalArgumentException(LocalizedCoreFormats.NUMBER_TOO_LARGE_BOUND_EXCLUDED,
- maximalIterationCount, MIDPOINT_MAX_ITERATIONS_COUNT);
- }
- }
- /**
- * Build a midpoint integrator with given iteration counts.
- * @param minimalIterationCount minimum number of iterations
- * @param maximalIterationCount maximum number of iterations
- * (must be less than or equal to {@link #MIDPOINT_MAX_ITERATIONS_COUNT}
- * @exception MathIllegalArgumentException if minimal number of iterations
- * is not strictly positive
- * @exception MathIllegalArgumentException if maximal number of iterations
- * is lesser than or equal to the minimal number of iterations
- * @exception MathIllegalArgumentException if maximal number of iterations
- * is greater than {@link #MIDPOINT_MAX_ITERATIONS_COUNT}
- */
- public MidPointIntegrator(final int minimalIterationCount,
- final int maximalIterationCount)
- throws MathIllegalArgumentException {
- super(minimalIterationCount, maximalIterationCount);
- if (maximalIterationCount > MIDPOINT_MAX_ITERATIONS_COUNT) {
- throw new MathIllegalArgumentException(LocalizedCoreFormats.NUMBER_TOO_LARGE_BOUND_EXCLUDED,
- maximalIterationCount, MIDPOINT_MAX_ITERATIONS_COUNT);
- }
- }
- /**
- * Construct a midpoint integrator with default settings.
- * (max iteration count set to {@link #MIDPOINT_MAX_ITERATIONS_COUNT})
- */
- public MidPointIntegrator() {
- super(DEFAULT_MIN_ITERATIONS_COUNT, MIDPOINT_MAX_ITERATIONS_COUNT);
- }
- /**
- * Compute the n-th stage integral of midpoint rule.
- * This function should only be called by API <code>integrate()</code> in the package.
- * To save time it does not verify arguments - caller does.
- * <p>
- * The interval is divided equally into 2^n sections rather than an
- * arbitrary m sections because this configuration can best utilize the
- * already computed values.</p>
- *
- * @param n the stage of 1/2 refinement. Must be larger than 0.
- * @param previousStageResult Result from the previous call to the
- * {@code stage} method.
- * @param min Lower bound of the integration interval.
- * @param diffMaxMin Difference between the lower bound and upper bound
- * of the integration interval.
- * @return the value of n-th stage integral
- * @throws MathIllegalStateException if the maximal number of evaluations
- * is exceeded.
- */
- private double stage(final int n,
- double previousStageResult,
- double min,
- double diffMaxMin)
- throws MathIllegalStateException {
- // number of new points in this stage
- final long np = 1L << (n - 1);
- double sum = 0;
- // spacing between adjacent new points
- final double spacing = diffMaxMin / np;
- // the first new point
- double x = min + 0.5 * spacing;
- for (long i = 0; i < np; i++) {
- sum += computeObjectiveValue(x);
- x += spacing;
- }
- // add the new sum to previously calculated result
- return 0.5 * (previousStageResult + sum * spacing);
- }
- /** {@inheritDoc} */
- @Override
- protected double doIntegrate()
- throws MathIllegalArgumentException, MathIllegalStateException {
- final double min = getMin();
- final double diff = getMax() - min;
- final double midPoint = min + 0.5 * diff;
- double oldt = diff * computeObjectiveValue(midPoint);
- while (true) {
- iterations.increment();
- final int i = iterations.getCount();
- final double t = stage(i, oldt, min, diff);
- if (i >= getMinimalIterationCount()) {
- final double delta = FastMath.abs(t - oldt);
- final double rLimit =
- getRelativeAccuracy() * (FastMath.abs(oldt) + FastMath.abs(t)) * 0.5;
- if ((delta <= rLimit) || (delta <= getAbsoluteAccuracy())) {
- return t;
- }
- }
- oldt = t;
- }
- }
- }