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+/*
+ * 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.math.ode.nonstiff;
+
+import org.apache.commons.math.linear.Array2DRowRealMatrix;
+import org.apache.commons.math.ode.DerivativeException;
+import org.apache.commons.math.ode.FirstOrderDifferentialEquations;
+import org.apache.commons.math.ode.IntegratorException;
+import org.apache.commons.math.ode.MultistepIntegrator;
+
+
+/** Base class for {@link AdamsBashforthIntegrator Adams-Bashforth} and
+ * {@link AdamsMoultonIntegrator Adams-Moulton} integrators.
+ * @version $Revision: 1073158 $ $Date: 2011-02-21 22:46:52 +0100 (lun. 21 févr. 2011) $
+ * @since 2.0
+ */
+public abstract class AdamsIntegrator extends MultistepIntegrator {
+
+ /** Transformer. */
+ private final AdamsNordsieckTransformer transformer;
+
+ /**
+ * Build an Adams integrator with the given order and step control prameters.
+ * @param name name of the method
+ * @param nSteps number of steps of the method excluding the one being computed
+ * @param order order of the method
+ * @param minStep minimal step (must be positive even for backward
+ * integration), the last step can be smaller than this
+ * @param maxStep maximal step (must be positive even for backward
+ * integration)
+ * @param scalAbsoluteTolerance allowed absolute error
+ * @param scalRelativeTolerance allowed relative error
+ * @exception IllegalArgumentException if order is 1 or less
+ */
+ public AdamsIntegrator(final String name, final int nSteps, final int order,
+ final double minStep, final double maxStep,
+ final double scalAbsoluteTolerance,
+ final double scalRelativeTolerance)
+ throws IllegalArgumentException {
+ super(name, nSteps, order, minStep, maxStep,
+ scalAbsoluteTolerance, scalRelativeTolerance);
+ transformer = AdamsNordsieckTransformer.getInstance(nSteps);
+ }
+
+ /**
+ * Build an Adams integrator with the given order and step control parameters.
+ * @param name name of the method
+ * @param nSteps number of steps of the method excluding the one being computed
+ * @param order order of the method
+ * @param minStep minimal step (must be positive even for backward
+ * integration), the last step can be smaller than this
+ * @param maxStep maximal step (must be positive even for backward
+ * integration)
+ * @param vecAbsoluteTolerance allowed absolute error
+ * @param vecRelativeTolerance allowed relative error
+ * @exception IllegalArgumentException if order is 1 or less
+ */
+ public AdamsIntegrator(final String name, final int nSteps, final int order,
+ final double minStep, final double maxStep,
+ final double[] vecAbsoluteTolerance,
+ final double[] vecRelativeTolerance)
+ throws IllegalArgumentException {
+ super(name, nSteps, order, minStep, maxStep,
+ vecAbsoluteTolerance, vecRelativeTolerance);
+ transformer = AdamsNordsieckTransformer.getInstance(nSteps);
+ }
+
+ /** {@inheritDoc} */
+ @Override
+ public abstract double integrate(final FirstOrderDifferentialEquations equations,
+ final double t0, final double[] y0,
+ final double t, final double[] y)
+ throws DerivativeException, IntegratorException;
+
+ /** {@inheritDoc} */
+ @Override
+ protected Array2DRowRealMatrix initializeHighOrderDerivatives(final double[] first,
+ final double[][] multistep) {
+ return transformer.initializeHighOrderDerivatives(first, multistep);
+ }
+
+ /** Update the high order scaled derivatives for Adams integrators (phase 1).
+ * <p>The complete update of high order derivatives has a form similar to:
+ * <pre>
+ * r<sub>n+1</sub> = (s<sub>1</sub>(n) - s<sub>1</sub>(n+1)) P<sup>-1</sup> u + P<sup>-1</sup> A P r<sub>n</sub>
+ * </pre>
+ * this method computes the P<sup>-1</sup> A P r<sub>n</sub> part.</p>
+ * @param highOrder high order scaled derivatives
+ * (h<sup>2</sup>/2 y'', ... h<sup>k</sup>/k! y(k))
+ * @return updated high order derivatives
+ * @see #updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix)
+ */
+ public Array2DRowRealMatrix updateHighOrderDerivativesPhase1(final Array2DRowRealMatrix highOrder) {
+ return transformer.updateHighOrderDerivativesPhase1(highOrder);
+ }
+
+ /** Update the high order scaled derivatives Adams integrators (phase 2).
+ * <p>The complete update of high order derivatives has a form similar to:
+ * <pre>
+ * r<sub>n+1</sub> = (s<sub>1</sub>(n) - s<sub>1</sub>(n+1)) P<sup>-1</sup> u + P<sup>-1</sup> A P r<sub>n</sub>
+ * </pre>
+ * this method computes the (s<sub>1</sub>(n) - s<sub>1</sub>(n+1)) P<sup>-1</sup> u part.</p>
+ * <p>Phase 1 of the update must already have been performed.</p>
+ * @param start first order scaled derivatives at step start
+ * @param end first order scaled derivatives at step end
+ * @param highOrder high order scaled derivatives, will be modified
+ * (h<sup>2</sup>/2 y'', ... h<sup>k</sup>/k! y(k))
+ * @see #updateHighOrderDerivativesPhase1(Array2DRowRealMatrix)
+ */
+ public void updateHighOrderDerivativesPhase2(final double[] start,
+ final double[] end,
+ final Array2DRowRealMatrix highOrder) {
+ transformer.updateHighOrderDerivativesPhase2(start, end, highOrder);
+ }
+
+}