Package org.apache.commons.math3.optim.nonlinear.scalar.gradient

Examples of org.apache.commons.math3.optim.nonlinear.scalar.gradient.CircleScalar.addPoint()

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public class MultiStartMultivariateOptimizerTest {
    @Test
    public void testCircleFitting() {
        CircleScalar circle = new CircleScalar();
        circle.addPoint( 30.0,  68.0);
        circle.addPoint( 50.0,  -6.0);
        circle.addPoint(110.0, -20.0);
        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        // TODO: the wrapper around NonLinearConjugateGradientOptimizer is a temporary hack for
View Full Code Here
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public class MultiStartMultivariateOptimizerTest {
    @Test
    public void testCircleFitting() {
        CircleScalar circle = new CircleScalar();
        circle.addPoint( 30.0,  68.0);
        circle.addPoint( 50.0,  -6.0);
        circle.addPoint(110.0, -20.0);
        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        // TODO: the wrapper around NonLinearConjugateGradientOptimizer is a temporary hack for
        // version 3.1 of the library. It should be removed when NonLinearConjugateGradientOptimizer
View Full Code Here
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    @Test
    public void testCircleFitting() {
        CircleScalar circle = new CircleScalar();
        circle.addPoint( 30.0,  68.0);
        circle.addPoint( 50.0,  -6.0);
        circle.addPoint(110.0, -20.0);
        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        // TODO: the wrapper around NonLinearConjugateGradientOptimizer is a temporary hack for
        // version 3.1 of the library. It should be removed when NonLinearConjugateGradientOptimizer
        // will officially be declared as implementing MultivariateDifferentiableOptimizer
View Full Code Here
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    public void testCircleFitting() {
        CircleScalar circle = new CircleScalar();
        circle.addPoint( 30.0,  68.0);
        circle.addPoint( 50.0,  -6.0);
        circle.addPoint(110.0, -20.0);
        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        // TODO: the wrapper around NonLinearConjugateGradientOptimizer is a temporary hack for
        // version 3.1 of the library. It should be removed when NonLinearConjugateGradientOptimizer
        // will officially be declared as implementing MultivariateDifferentiableOptimizer
        GradientMultivariateOptimizer underlying
View Full Code Here
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        CircleScalar circle = new CircleScalar();
        circle.addPoint( 30.0,  68.0);
        circle.addPoint( 50.0,  -6.0);
        circle.addPoint(110.0, -20.0);
        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        // TODO: the wrapper around NonLinearConjugateGradientOptimizer is a temporary hack for
        // version 3.1 of the library. It should be removed when NonLinearConjugateGradientOptimizer
        // will officially be declared as implementing MultivariateDifferentiableOptimizer
        GradientMultivariateOptimizer underlying
            = new NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula.POLAK_RIBIERE,
View Full Code Here
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public class MultiStartMultivariateOptimizerTest {
    @Test
    public void testCircleFitting() {
        CircleScalar circle = new CircleScalar();
        circle.addPoint( 30.0,  68.0);
        circle.addPoint( 50.0,  -6.0);
        circle.addPoint(110.0, -20.0);
        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        // TODO: the wrapper around NonLinearConjugateGradientOptimizer is a temporary hack for
View Full Code Here
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public class MultiStartMultivariateOptimizerTest {
    @Test
    public void testCircleFitting() {
        CircleScalar circle = new CircleScalar();
        circle.addPoint( 30.0,  68.0);
        circle.addPoint( 50.0,  -6.0);
        circle.addPoint(110.0, -20.0);
        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        // TODO: the wrapper around NonLinearConjugateGradientOptimizer is a temporary hack for
        // version 3.1 of the library. It should be removed when NonLinearConjugateGradientOptimizer
View Full Code Here
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    @Test
    public void testCircleFitting() {
        CircleScalar circle = new CircleScalar();
        circle.addPoint( 30.0,  68.0);
        circle.addPoint( 50.0,  -6.0);
        circle.addPoint(110.0, -20.0);
        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        // TODO: the wrapper around NonLinearConjugateGradientOptimizer is a temporary hack for
        // version 3.1 of the library. It should be removed when NonLinearConjugateGradientOptimizer
        // will officially be declared as implementing MultivariateDifferentiableOptimizer
View Full Code Here
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    public void testCircleFitting() {
        CircleScalar circle = new CircleScalar();
        circle.addPoint( 30.0,  68.0);
        circle.addPoint( 50.0,  -6.0);
        circle.addPoint(110.0, -20.0);
        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        // TODO: the wrapper around NonLinearConjugateGradientOptimizer is a temporary hack for
        // version 3.1 of the library. It should be removed when NonLinearConjugateGradientOptimizer
        // will officially be declared as implementing MultivariateDifferentiableOptimizer
        GradientMultivariateOptimizer underlying
View Full Code Here
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        CircleScalar circle = new CircleScalar();
        circle.addPoint( 30.0,  68.0);
        circle.addPoint( 50.0,  -6.0);
        circle.addPoint(110.0, -20.0);
        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        // TODO: the wrapper around NonLinearConjugateGradientOptimizer is a temporary hack for
        // version 3.1 of the library. It should be removed when NonLinearConjugateGradientOptimizer
        // will officially be declared as implementing MultivariateDifferentiableOptimizer
        GradientMultivariateOptimizer underlying
            = new NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula.POLAK_RIBIERE,
View Full Code Here
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