Examples of MaxEval

org.apache.commons.math3.optim.MaxEval
Maximum number of evaluations of the function to be optimized. @since 3.1

Examples of org.apache.commons.math3.optim.MaxEval

        // Multi-start loop.
        for (int i = 0; i < starts; i++) {
            // CHECKSTYLE: stop IllegalCatch
            try {
                // Decrease number of allowed evaluations.
                optimData[maxEvalIndex] = new MaxEval(maxEval - totalEvaluations);
                // New start value.
                final double s = (i == 0) ?
                    startValue :
                    min + generator.nextDouble() * (max - min);
                optimData[searchIntervalIndex] = new SearchInterval(min, max, s);

View Full Code Here

Examples of org.apache.commons.math3.optim.MaxEval

        // Input to the optimizer: the model and its Jacobian.
        final TheoreticalValuesFunction model = new TheoreticalValuesFunction(f);


        // Perform the fit.
        final PointVectorValuePair optimum
            = optimizer.optimize(new MaxEval(maxEval),
                                 model.getModelFunction(),
                                 model.getModelFunctionJacobian(),
                                 new Target(target),
                                 new Weight(weights),
                                 new InitialGuess(initialGuess));

View Full Code Here

Examples of org.apache.commons.math3.optim.MaxEval

        final GoalType goal = mainOptimizer.getGoalType();
        bracket.search(f, goal, 0, initialBracketingRange);
        // Passing "MAX_VALUE" as a dummy value because it is the enclosing
        // class that counts the number of evaluations (and will eventually
        // generate the exception).
        return lineOptimizer.optimize(new MaxEval(Integer.MAX_VALUE),
                                      new UnivariateObjectiveFunction(f),
                                      goal,
                                      new SearchInterval(bracket.getLo(),
                                                         bracket.getHi(),
                                                         bracket.getMid()));

View Full Code Here

Examples of org.apache.commons.math3.optim.MaxEval

        return new GaussNewtonOptimizer(new SimpleVectorValueChecker(1.0e-6, 1.0e-6));
    }


    @Test(expected=MathUnsupportedOperationException.class)
    public void testConstraintsUnsupported() {
        createOptimizer().optimize(new MaxEval(100),
                                   new Target(new double[] { 2 }),
                                   new Weight(new double[] { 1 }),
                                   new InitialGuess(new double[] { 1, 2 }),
                                   new SimpleBounds(new double[] { -10, 0 },
                                                    new double[] { 20, 30 }));

View Full Code Here

Examples of org.apache.commons.math3.optim.MaxEval

        circle.addPoint( 45.0,  97.0);


        GaussNewtonOptimizer optimizer
            = new GaussNewtonOptimizer(new SimpleVectorValueChecker(1e-30, 1e-30));


        optimizer.optimize(new MaxEval(100),
                           circle.getModelFunction(),
                           circle.getModelFunctionJacobian(),
                           new Target(new double[] { 0, 0, 0, 0, 0 }),
                           new Weight(new double[] { 1, 1, 1, 1, 1 }),
                           new InitialGuess(new double[] { 98.680, 47.345 }));

View Full Code Here

Examples of org.apache.commons.math3.optim.MaxEval

            = new LevenbergMarquardtOptimizer(FastMath.sqrt(2.22044604926e-16),
                                              FastMath.sqrt(2.22044604926e-16),
                                              2.22044604926e-16);
        try {
            PointVectorValuePair optimum
                = optimizer.optimize(new MaxEval(400 * (function.getN() + 1)),
                                     function.getModelFunction(),
                                     function.getModelFunctionJacobian(),
                                     new Target(function.getTarget()),
                                     new Weight(function.getWeight()),
                                     new InitialGuess(function.getStartPoint()));

View Full Code Here

Examples of org.apache.commons.math3.optim.MaxEval

        Arrays.fill(w, 1.0);


        StatisticalReferenceDataset.LeastSquaresProblem problem
            = dataset.getLeastSquaresProblem();


        optimizer.optimize(new MaxEval(1),
                           problem.getModelFunction(),
                           problem.getModelFunctionJacobian(),
                           new Target(y),
                           new Weight(w),
                           new InitialGuess(a));

View Full Code Here

Examples of org.apache.commons.math3.optim.MaxEval

        Arrays.fill(w, 1);


        StatisticalReferenceDataset.LeastSquaresProblem problem
            = dataset.getLeastSquaresProblem();


        optimizer.optimize(new MaxEval(1),
                           problem.getModelFunction(),
                           problem.getModelFunctionJacobian(),
                           new Target(y),
                           new Weight(w),
                           new InitialGuess(a));

View Full Code Here

Examples of org.apache.commons.math3.optim.MaxEval


        StatisticalReferenceDataset.LeastSquaresProblem problem
            = dataset.getLeastSquaresProblem();


        final PointVectorValuePair optimum
            = optimizer.optimize(new MaxEval(1),
                                 problem.getModelFunction(),
                                 problem.getModelFunctionJacobian(),
                                 new Target(y),
                                 new Weight(w),
                                 new InitialGuess(a));

View Full Code Here

Examples of org.apache.commons.math3.optim.MaxEval

    public abstract AbstractLeastSquaresOptimizer createOptimizer();


    @Test
    public void testGetIterations() {
        AbstractLeastSquaresOptimizer optim = createOptimizer();
        optim.optimize(new MaxEval(100), new Target(new double[] { 1 }),
                       new Weight(new double[] { 1 }),
                       new InitialGuess(new double[] { 3 }),
                       new ModelFunction(new MultivariateVectorFunction() {
                               public double[] value(double[] point) {
                                   return new double[] {

View Full Code Here

0 1 2 3 4 5

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.