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authorKarl Shaffer <karlshaffer@google.com>2023-08-10 21:04:00 +0000
committerAutomerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>2023-08-10 21:04:00 +0000
commitb3715644fba79ef08acd9a2e157d078865281767 (patch)
treeace24ba4307d4978ee3134f7da671a77ad172da0 /src/main/java/org/apache/commons/math3/fitting/PolynomialFitter.java
parentc6daa20e87158ebdc049f6c921257ddbf1af6b0d (diff)
parent0018f64b87f6b2df2a4c866aa3eb8ab2e45efbea (diff)
downloadapache-commons-math-b3715644fba79ef08acd9a2e157d078865281767.tar.gz
Check-in commons-math 3.6.1 am: 1354beaf45 am: 0018f64b87
Original change: https://android-review.googlesource.com/c/platform/external/apache-commons-math/+/2702413 Change-Id: Ic2a78fec4bb3bb3448de42350306644ba2bd021d 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.fitting;
+
+import org.apache.commons.math3.analysis.polynomials.PolynomialFunction;
+import org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer;
+
+/**
+ * Polynomial fitting is a very simple case of {@link CurveFitter curve fitting}. The estimated
+ * coefficients are the polynomial coefficients (see the {@link #fit(double[]) fit} method).
+ *
+ * @since 2.0
+ * @deprecated As of 3.3. Please use {@link PolynomialCurveFitter} and {@link
+ * WeightedObservedPoints} instead.
+ */
+@Deprecated
+public class PolynomialFitter extends CurveFitter<PolynomialFunction.Parametric> {
+ /**
+ * Simple constructor.
+ *
+ * @param optimizer Optimizer to use for the fitting.
+ */
+ public PolynomialFitter(MultivariateVectorOptimizer optimizer) {
+ super(optimizer);
+ }
+
+ /**
+ * Get the coefficients of the polynomial fitting the weighted data points. The degree of the
+ * fitting polynomial is {@code guess.length - 1}.
+ *
+ * @param guess First guess for the coefficients. They must be sorted in increasing order of the
+ * polynomial's degree.
+ * @param maxEval Maximum number of evaluations of the polynomial.
+ * @return the coefficients of the polynomial that best fits the observed points.
+ * @throws org.apache.commons.math3.exception.TooManyEvaluationsException if the number of
+ * evaluations exceeds {@code maxEval}.
+ * @throws org.apache.commons.math3.exception.ConvergenceException if the algorithm failed to
+ * converge.
+ */
+ public double[] fit(int maxEval, double[] guess) {
+ return fit(maxEval, new PolynomialFunction.Parametric(), guess);
+ }
+
+ /**
+ * Get the coefficients of the polynomial fitting the weighted data points. The degree of the
+ * fitting polynomial is {@code guess.length - 1}.
+ *
+ * @param guess First guess for the coefficients. They must be sorted in increasing order of the
+ * polynomial's degree.
+ * @return the coefficients of the polynomial that best fits the observed points.
+ * @throws org.apache.commons.math3.exception.ConvergenceException if the algorithm failed to
+ * converge.
+ */
+ public double[] fit(double[] guess) {
+ return fit(new PolynomialFunction.Parametric(), guess);
+ }
+}