Package org.apache.commons.math3.optimization

Examples of org.apache.commons.math3.optimization.Target


        if (t.length != w.length) {
            throw new DimensionMismatchException(t.length, w.length);
        }

        return optimizeInternal(maxEval, f,
                                new Target(t),
                                new Weight(w),
                                new InitialGuess(startPoint));
    }
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        if (t.length != w.length) {
            throw new DimensionMismatchException(t.length, w.length);
        }

        return optimizeInternal(maxEval, f,
                                new Target(t),
                                new Weight(w),
                                new InitialGuess(startPoint));
    }
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                                         final DifferentiableMultivariateVectorFunction f,
                                         final double[] target, final double[] weights,
                                         final double[] startPoint) {
        return optimizeInternal(maxEval,
                                FunctionUtils.toMultivariateDifferentiableVectorFunction(f),
                                new Target(target),
                                new Weight(weights),
                                new InitialGuess(startPoint));
    }
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    public PointVectorValuePair optimize(final int maxEval,
                                         final MultivariateDifferentiableVectorFunction f,
                                         final double[] target, final double[] weights,
                                         final double[] startPoint) {
        return optimizeInternal(maxEval, f,
                                new Target(target),
                                new Weight(weights),
                                new InitialGuess(startPoint));
    }
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                                         final DifferentiableMultivariateVectorFunction f,
                                         final double[] target, final double[] weights,
                                         final double[] startPoint) {
        return optimizeInternal(maxEval,
                                FunctionUtils.toMultivariateDifferentiableVectorFunction(f),
                                new Target(target),
                                new Weight(weights),
                                new InitialGuess(startPoint));
    }
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    public PointVectorValuePair optimize(final int maxEval,
                                         final MultivariateDifferentiableVectorFunction f,
                                         final double[] target, final double[] weights,
                                         final double[] startPoint) {
        return optimizeInternal(maxEval, f,
                                new Target(target),
                                new Weight(weights),
                                new InitialGuess(startPoint));
    }
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                                         final DifferentiableMultivariateVectorFunction f,
                                         final double[] target, final double[] weights,
                                         final double[] startPoint) {
        return optimizeInternal(maxEval,
                                FunctionUtils.toMultivariateDifferentiableVectorFunction(f),
                                new Target(target),
                                new Weight(weights),
                                new InitialGuess(startPoint));
    }
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    public PointVectorValuePair optimize(final int maxEval,
                                         final MultivariateDifferentiableVectorFunction f,
                                         final double[] target, final double[] weights,
                                         final double[] startPoint) {
        return optimizeInternal(maxEval, f,
                                new Target(target),
                                new Weight(weights),
                                new InitialGuess(startPoint));
    }
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        if (t.length != w.length) {
            throw new DimensionMismatchException(t.length, w.length);
        }

        return optimizeInternal(maxEval, f,
                                new Target(t),
                                new Weight(w),
                                new InitialGuess(startPoint));
    }
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     * {@link #DEFAULT_INVERSE_ABSOLUTE_ACCURACY}).
     * @throws NotStrictlyPositiveException if {@code mean <= 0}.
     * @since 2.1
     */
    public ExponentialDistribution(double mean, double inverseCumAccuracy) {
        this(new Well19937c(), mean, inverseCumAccuracy);
    }
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