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
- *
- * 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.
- */
- package org.apache.commons.math4.legacy.analysis.integration;
- import org.apache.commons.numbers.core.ArithmeticUtils;
- import org.apache.commons.math4.legacy.exception.NumberIsTooLargeException;
- import org.apache.commons.math4.core.jdkmath.JdkMath;
- /**
- * Implements the <a href="https://en.wikipedia.org/wiki/Riemann_sum#Midpoint_rule">
- * 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>
- *
- * @since 3.3
- */
- public class MidPointIntegrator extends BaseAbstractUnivariateIntegrator {
- /** Maximum number of iterations for midpoint. 39 = floor(log_3(2^63)), the
- * maximum number of triplings allowed before exceeding 64-bit bounds.
- */
- private static final int MIDPOINT_MAX_ITERATIONS_COUNT = 39;
- /**
- * 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
- * @exception org.apache.commons.math4.legacy.exception.NotStrictlyPositiveException if minimal number of iterations
- * is not strictly positive
- * @exception org.apache.commons.math4.legacy.exception.NumberIsTooSmallException if maximal number of iterations
- * is lesser than or equal to the minimal number of iterations
- * @exception NumberIsTooLargeException if maximal number of iterations
- * is greater than 39.
- */
- public MidPointIntegrator(final double relativeAccuracy,
- final double absoluteAccuracy,
- final int minimalIterationCount,
- final int maximalIterationCount) {
- super(relativeAccuracy, absoluteAccuracy, minimalIterationCount, maximalIterationCount);
- if (maximalIterationCount > MIDPOINT_MAX_ITERATIONS_COUNT) {
- throw new NumberIsTooLargeException(maximalIterationCount,
- MIDPOINT_MAX_ITERATIONS_COUNT, false);
- }
- }
- /**
- * Build a midpoint integrator with given iteration counts.
- * @param minimalIterationCount minimum number of iterations
- * @param maximalIterationCount maximum number of iterations
- * @exception org.apache.commons.math4.legacy.exception.NotStrictlyPositiveException if minimal number of iterations
- * is not strictly positive
- * @exception org.apache.commons.math4.legacy.exception.NumberIsTooSmallException if maximal number of iterations
- * is lesser than or equal to the minimal number of iterations
- * @exception NumberIsTooLargeException if maximal number of iterations
- * is greater than 39.
- */
- public MidPointIntegrator(final int minimalIterationCount,
- final int maximalIterationCount) {
- super(minimalIterationCount, maximalIterationCount);
- if (maximalIterationCount > MIDPOINT_MAX_ITERATIONS_COUNT) {
- throw new NumberIsTooLargeException(maximalIterationCount,
- MIDPOINT_MAX_ITERATIONS_COUNT, false);
- }
- }
- /**
- * 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 3^n sections rather than an
- * arbitrary m sections because this configuration can best utilize the
- * already computed values.</p>
- *
- * @param n the stage of 1/3 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 org.apache.commons.math4.legacy.exception.TooManyEvaluationsException if the maximal number of evaluations
- * is exceeded.
- */
- private double stage(final int n,
- double previousStageResult,
- double min,
- double diffMaxMin) {
- // number of points in the previous stage. This stage will contribute
- // 2*3^{n-1} more points.
- final long np = ArithmeticUtils.pow(3L, n - 1);
- double sum = 0;
- // spacing between adjacent new points
- final double spacing = diffMaxMin / np;
- final double leftOffset = spacing / 6;
- final double rightOffset = 5 * leftOffset;
- double x = min;
- for (long i = 0; i < np; i++) {
- // The first and second new points are located at the new midpoints
- // generated when each previous integration slice is split into 3.
- //
- // |--------x--------|
- // |--x--|--x--|--x--|
- sum += computeObjectiveValue(x + leftOffset);
- sum += computeObjectiveValue(x + rightOffset);
- x += spacing;
- }
- // add the new sum to previously calculated result
- return (previousStageResult + sum * spacing) / 3.0;
- }
- /** {@inheritDoc} */
- @Override
- protected double doIntegrate() {
- 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 = JdkMath.abs(t - oldt);
- final double rLimit =
- getRelativeAccuracy() * (JdkMath.abs(oldt) + JdkMath.abs(t)) * 0.5;
- if (delta <= rLimit || delta <= getAbsoluteAccuracy()) {
- return t;
- }
- }
- oldt = t;
- }
- }
- }