EulerIntegrator.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.ode.nonstiff;
- /**
- * This class implements a simple Euler integrator for Ordinary
- * Differential Equations.
- *
- * <p>The Euler algorithm is the simplest one that can be used to
- * integrate ordinary differential equations. It is a simple inversion
- * of the forward difference expression :
- * <code>f'=(f(t+h)-f(t))/h</code> which leads to
- * <code>f(t+h)=f(t)+hf'</code>. The interpolation scheme used for
- * dense output is the linear scheme already used for integration.</p>
- *
- * <p>This algorithm looks cheap because it needs only one function
- * evaluation per step. However, as it uses linear estimates, it needs
- * very small steps to achieve high accuracy, and small steps lead to
- * numerical errors and instabilities.</p>
- *
- * <p>This algorithm is almost never used and has been included in
- * this package only as a comparison reference for more useful
- * integrators.</p>
- *
- * @see MidpointIntegrator
- * @see ClassicalRungeKuttaIntegrator
- * @see GillIntegrator
- * @see ThreeEighthesIntegrator
- * @see LutherIntegrator
- * @since 1.2
- */
- public class EulerIntegrator extends RungeKuttaIntegrator {
- /** Time steps Butcher array. */
- private static final double[] STATIC_C = {
- };
- /** Internal weights Butcher array. */
- private static final double[][] STATIC_A = {
- };
- /** Propagation weights Butcher array. */
- private static final double[] STATIC_B = {
- 1.0
- };
- /** Simple constructor.
- * Build an Euler integrator with the given step.
- * @param step integration step
- */
- public EulerIntegrator(final double step) {
- super("Euler", STATIC_C, STATIC_A, STATIC_B, new EulerStepInterpolator(), step);
- }
- }