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authorKarl Shaffer <karlshaffer@google.com>2023-08-10 23:18:51 +0000
committerAutomerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>2023-08-10 23:18:51 +0000
commit029d049e490dcd5fa609bb7632b0262d95f1bcce (patch)
treeace24ba4307d4978ee3134f7da671a77ad172da0 /src/main/java/org/apache/commons/math3/analysis/solvers/AbstractUnivariateDifferentiableSolver.java
parent4367a1c12f893ea7fb55036619f46d0e7b0634f3 (diff)
parent5484895ffd3d0c8337d159667cafc127c459f677 (diff)
downloadapache-commons-math-029d049e490dcd5fa609bb7632b0262d95f1bcce.tar.gz
Check-in commons-math 3.6.1 am: 1354beaf45 am: 0018f64b87 am: b3715644fb am: 5484895ffd
Original change: https://android-review.googlesource.com/c/platform/external/apache-commons-math/+/2702413 Change-Id: Idb04c8014ec76e9930d6d0aa22dac3b0b54333c8 Signed-off-by: Automerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>
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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.math3.analysis.solvers;
+
+import org.apache.commons.math3.analysis.differentiation.DerivativeStructure;
+import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction;
+import org.apache.commons.math3.exception.TooManyEvaluationsException;
+
+/**
+ * Provide a default implementation for several functions useful to generic
+ * solvers.
+ *
+ * @since 3.1
+ */
+public abstract class AbstractUnivariateDifferentiableSolver
+ extends BaseAbstractUnivariateSolver<UnivariateDifferentiableFunction>
+ implements UnivariateDifferentiableSolver {
+
+ /** Function to solve. */
+ private UnivariateDifferentiableFunction function;
+
+ /**
+ * Construct a solver with given absolute accuracy.
+ *
+ * @param absoluteAccuracy Maximum absolute error.
+ */
+ protected AbstractUnivariateDifferentiableSolver(final double absoluteAccuracy) {
+ super(absoluteAccuracy);
+ }
+
+ /**
+ * Construct a solver with given accuracies.
+ *
+ * @param relativeAccuracy Maximum relative error.
+ * @param absoluteAccuracy Maximum absolute error.
+ * @param functionValueAccuracy Maximum function value error.
+ */
+ protected AbstractUnivariateDifferentiableSolver(final double relativeAccuracy,
+ final double absoluteAccuracy,
+ final double functionValueAccuracy) {
+ super(relativeAccuracy, absoluteAccuracy, functionValueAccuracy);
+ }
+
+ /**
+ * Compute the objective function value.
+ *
+ * @param point Point at which the objective function must be evaluated.
+ * @return the objective function value and derivative at specified point.
+ * @throws TooManyEvaluationsException
+ * if the maximal number of evaluations is exceeded.
+ */
+ protected DerivativeStructure computeObjectiveValueAndDerivative(double point)
+ throws TooManyEvaluationsException {
+ incrementEvaluationCount();
+ return function.value(new DerivativeStructure(1, 1, 0, point));
+ }
+
+ /**
+ * {@inheritDoc}
+ */
+ @Override
+ protected void setup(int maxEval, UnivariateDifferentiableFunction f,
+ double min, double max, double startValue) {
+ super.setup(maxEval, f, min, max, startValue);
+ function = f;
+ }
+}