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git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1370220 13f79535-47bb-0310-9956-ffa450edef68
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@ -29,7 +29,7 @@ public class CurveFitterTest {
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public void testMath303() {
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LevenbergMarquardtOptimizer optimizer = new LevenbergMarquardtOptimizer();
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CurveFitter fitter = new CurveFitter(optimizer);
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CurveFitter<ParametricUnivariateFunction> fitter = new CurveFitter<ParametricUnivariateFunction>(optimizer);
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fitter.addObservedPoint(2.805d, 0.6934785852953367d);
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fitter.addObservedPoint(2.74333333333333d, 0.6306772025518496d);
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fitter.addObservedPoint(1.655d, 0.9474675497289684);
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@ -52,7 +52,7 @@ public class CurveFitterTest {
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public void testMath304() {
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LevenbergMarquardtOptimizer optimizer = new LevenbergMarquardtOptimizer();
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CurveFitter fitter = new CurveFitter(optimizer);
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CurveFitter<ParametricUnivariateFunction> fitter = new CurveFitter<ParametricUnivariateFunction>(optimizer);
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fitter.addObservedPoint(2.805d, 0.6934785852953367d);
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fitter.addObservedPoint(2.74333333333333d, 0.6306772025518496d);
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fitter.addObservedPoint(1.655d, 0.9474675497289684);
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@ -73,7 +73,7 @@ public class CurveFitterTest {
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@Test
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public void testMath372() {
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LevenbergMarquardtOptimizer optimizer = new LevenbergMarquardtOptimizer();
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CurveFitter curveFitter = new CurveFitter(optimizer);
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CurveFitter<ParametricUnivariateFunction> curveFitter = new CurveFitter<ParametricUnivariateFunction>(optimizer);
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curveFitter.addObservedPoint( 15, 4443);
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curveFitter.addObservedPoint( 31, 8493);
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@ -20,6 +20,7 @@ package org.apache.commons.math3.optimization.fitting;
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import java.util.Random;
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import org.apache.commons.math3.analysis.polynomials.PolynomialFunction;
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import org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric;
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import org.apache.commons.math3.exception.ConvergenceException;
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import org.apache.commons.math3.exception.TooManyEvaluationsException;
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import org.apache.commons.math3.optimization.DifferentiableMultivariateVectorOptimizer;
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@ -154,7 +155,7 @@ public class PolynomialFitterTest {
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private double[] doMath798(DifferentiableMultivariateVectorOptimizer optimizer,
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int maxEval,
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double[] init) {
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final CurveFitter fitter = new CurveFitter(optimizer);
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final CurveFitter<Parametric> fitter = new CurveFitter<Parametric>(optimizer);
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fitter.addObservedPoint(-0.2, -7.12442E-13);
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fitter.addObservedPoint(-0.199, -4.33397E-13);
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@ -56,7 +56,7 @@ public final class BrentOptimizerTest {
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@Test
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public void testSinMinWithValueChecker() {
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final UnivariateFunction f = new SinFunction();
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final ConvergenceChecker checker = new SimpleUnivariateValueChecker(1e-5, 1e-14);
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final ConvergenceChecker<UnivariatePointValuePair> checker = new SimpleUnivariateValueChecker(1e-5, 1e-14);
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// The default stopping criterion of Brent's algorithm should not
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// pass, but the search will stop at the given relative tolerance
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// for the function value.
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