Examples of BrentOptimizer

org.apache.commons.math.optimization.univariate.BrentOptimizer
Implements Richard Brent's algorithm (from his book "Algorithms for Minimization without Derivatives", p. 79) for finding minima of real univariate functions. This implementation is an adaptation partly based on the Python code from SciPy (module "optimize.py" v0.5). @version $Revision: 1070725 $ $Date: 2011-02-15 02:31:12 +0100 (mar. 15 févr. 2011) $ @since 2.0
org.apache.commons.math3.optim.univariate.BrentOptimizer
For a function defined on some interval {@code (lo, hi)}, this class finds an approximation {@code x} to the point at which the functionattains its minimum. It implements Richard Brent's algorithm (from his book "Algorithms for Minimization without Derivatives", p. 79) for finding minima of real univariate functions.
This code is an adaptation, partly based on the Python code from SciPy (module "optimize.py" v0.5); the original algorithm is also modified
- to use an initial guess provided by the user,
- to ensure that the best point encountered is the one returned.
@since 2.0
org.apache.commons.math3.optimization.univariate.BrentOptimizer
For a function defined on some interval {@code (lo, hi)}, this class finds an approximation {@code x} to the point at which the functionattains its minimum. It implements Richard Brent's algorithm (from his book "Algorithms for Minimization without Derivatives", p. 79) for finding minima of real univariate functions.
This code is an adaptation, partly based on the Python code from SciPy (module "optimize.py" v0.5); the original algorithm is also modified
- to use an initial guess provided by the user,
- to ensure that the best point encountered is the one returned.
@deprecated As of 3.1 (to be removed in 4.0). @since 2.0

Examples of org.apache.commons.math3.optimization.univariate.BrentOptimizer

                        throw new LocalException();
                    }
                    return 0;
                }
            };
        UnivariateOptimizer underlying = new BrentOptimizer(1e-9, 1e-14);
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(4312000053L);
        UnivariateMultiStartOptimizer<UnivariateFunction> optimizer =
            new UnivariateMultiStartOptimizer<UnivariateFunction>(underlying, 5, g);

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