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Packages that use TooManyEvaluationsException | |
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org.apache.commons.math3.analysis.integration | Numerical integration (quadrature) algorithms for univariate real functions. |
org.apache.commons.math3.analysis.solvers | Root finding algorithms, for univariate real functions. |
org.apache.commons.math3.optim |
Generally, optimizers are algorithms that will either
minimize or
maximize
a scalar function, called the
objective
function . |
org.apache.commons.math3.optim.nonlinear.scalar | Algorithms for optimizing a scalar function. |
org.apache.commons.math3.optim.nonlinear.scalar.gradient | This package provides optimization algorithms that require derivatives. |
org.apache.commons.math3.optim.nonlinear.scalar.noderiv | This package provides optimization algorithms that do not require derivatives. |
org.apache.commons.math3.optim.nonlinear.vector | Algorithms for optimizing a vector function. |
org.apache.commons.math3.optim.nonlinear.vector.jacobian | This package provides optimization algorithms that require derivatives. |
org.apache.commons.math3.optim.univariate | One-dimensional optimization algorithms. |
org.apache.commons.math3.optimization.direct | This package provides optimization algorithms that don't require derivatives. |
Uses of TooManyEvaluationsException in org.apache.commons.math3.analysis.integration |
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Methods in org.apache.commons.math3.analysis.integration that throw TooManyEvaluationsException | |
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protected double |
BaseAbstractUnivariateIntegrator.computeObjectiveValue(double point)
Compute the objective function value. |
protected double |
LegendreGaussIntegrator.doIntegrate()
Deprecated. Method for implementing actual integration algorithms in derived classes. |
protected double |
IterativeLegendreGaussIntegrator.doIntegrate()
Method for implementing actual integration algorithms in derived classes. |
protected double |
TrapezoidIntegrator.doIntegrate()
Method for implementing actual integration algorithms in derived classes. |
protected double |
RombergIntegrator.doIntegrate()
Method for implementing actual integration algorithms in derived classes. |
protected abstract double |
BaseAbstractUnivariateIntegrator.doIntegrate()
Method for implementing actual integration algorithms in derived classes. |
protected double |
SimpsonIntegrator.doIntegrate()
Method for implementing actual integration algorithms in derived classes. |
double |
UnivariateIntegrator.integrate(int maxEval,
UnivariateFunction f,
double min,
double max)
Integrate the function in the given interval. |
double |
BaseAbstractUnivariateIntegrator.integrate(int maxEval,
UnivariateFunction f,
double lower,
double upper)
Integrate the function in the given interval. |
Uses of TooManyEvaluationsException in org.apache.commons.math3.analysis.solvers |
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Methods in org.apache.commons.math3.analysis.solvers that throw TooManyEvaluationsException | |
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protected double |
AbstractDifferentiableUnivariateSolver.computeDerivativeObjectiveValue(double point)
Deprecated. Compute the objective function value. |
protected double |
BaseAbstractUnivariateSolver.computeObjectiveValue(double point)
Compute the objective function value. |
protected DerivativeStructure |
AbstractUnivariateDifferentiableSolver.computeObjectiveValueAndDerivative(double point)
Compute the objective function value. |
protected double |
BrentSolver.doSolve()
Method for implementing actual optimization algorithms in derived classes. |
double |
LaguerreSolver.doSolve()
Method for implementing actual optimization algorithms in derived classes. |
protected double |
NewtonSolver.doSolve()
Deprecated. Method for implementing actual optimization algorithms in derived classes. |
protected abstract double |
BaseAbstractUnivariateSolver.doSolve()
Method for implementing actual optimization algorithms in derived classes. |
protected double |
RiddersSolver.doSolve()
Method for implementing actual optimization algorithms in derived classes. |
protected double |
BracketingNthOrderBrentSolver.doSolve()
Method for implementing actual optimization algorithms in derived classes. |
protected double |
MullerSolver2.doSolve()
Method for implementing actual optimization algorithms in derived classes. |
protected double |
BisectionSolver.doSolve()
Method for implementing actual optimization algorithms in derived classes. |
protected double |
NewtonRaphsonSolver.doSolve()
Method for implementing actual optimization algorithms in derived classes. |
protected double |
MullerSolver.doSolve()
Method for implementing actual optimization algorithms in derived classes. |
protected double |
SecantSolver.doSolve()
Method for implementing actual optimization algorithms in derived classes. |
protected void |
BaseAbstractUnivariateSolver.incrementEvaluationCount()
Increment the evaluation count by one. |
double |
NewtonSolver.solve(int maxEval,
DifferentiableUnivariateFunction f,
double min,
double max)
Deprecated. Find a zero near the midpoint of min and max . |
double |
BaseAbstractUnivariateSolver.solve(int maxEval,
FUNC f,
double startValue)
Solve for a zero in the vicinity of startValue . |
double |
BaseUnivariateSolver.solve(int maxEval,
FUNC f,
double min,
double max)
Solve for a zero root in the given interval. |
double |
BaseAbstractUnivariateSolver.solve(int maxEval,
FUNC f,
double min,
double max,
double startValue)
Solve for a zero in the given interval, start at startValue . |
double |
BaseUnivariateSolver.solve(int maxEval,
FUNC f,
double min,
double max,
double startValue)
Solve for a zero in the given interval, start at startValue . |
double |
NewtonRaphsonSolver.solve(int maxEval,
UnivariateDifferentiableFunction f,
double min,
double max)
Find a zero near the midpoint of min and max . |
double |
BracketingNthOrderBrentSolver.solve(int maxEval,
UnivariateFunction f,
double min,
double max,
AllowedSolution allowedSolution)
Solve for a zero in the given interval. |
double |
BracketingNthOrderBrentSolver.solve(int maxEval,
UnivariateFunction f,
double min,
double max,
double startValue,
AllowedSolution allowedSolution)
Solve for a zero in the given interval, start at startValue . |
Complex[] |
LaguerreSolver.solveAllComplex(double[] coefficients,
double initial)
Find all complex roots for the polynomial with the given coefficients, starting from the given initial value. |
Complex |
LaguerreSolver.solveComplex(double[] coefficients,
double initial)
Find a complex root for the polynomial with the given coefficients, starting from the given initial value. |
Uses of TooManyEvaluationsException in org.apache.commons.math3.optim |
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Methods in org.apache.commons.math3.optim that throw TooManyEvaluationsException | |
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protected void |
BaseOptimizer.incrementEvaluationCount()
Increment the evaluation count. |
PAIR |
BaseOptimizer.optimize(OptimizationData... optData)
Stores data and performs the optimization. |
Uses of TooManyEvaluationsException in org.apache.commons.math3.optim.nonlinear.scalar |
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Methods in org.apache.commons.math3.optim.nonlinear.scalar that throw TooManyEvaluationsException | |
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PointValuePair |
GradientMultivariateOptimizer.optimize(OptimizationData... optData)
Stores data and performs the optimization. |
PointValuePair |
MultivariateOptimizer.optimize(OptimizationData... optData)
Stores data and performs the optimization. |
Uses of TooManyEvaluationsException in org.apache.commons.math3.optim.nonlinear.scalar.gradient |
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Methods in org.apache.commons.math3.optim.nonlinear.scalar.gradient that throw TooManyEvaluationsException | |
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PointValuePair |
NonLinearConjugateGradientOptimizer.optimize(OptimizationData... optData)
Stores data and performs the optimization. |
Uses of TooManyEvaluationsException in org.apache.commons.math3.optim.nonlinear.scalar.noderiv |
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Methods in org.apache.commons.math3.optim.nonlinear.scalar.noderiv that throw TooManyEvaluationsException | |
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PointValuePair |
CMAESOptimizer.optimize(OptimizationData... optData)
Stores data and performs the optimization. |
Uses of TooManyEvaluationsException in org.apache.commons.math3.optim.nonlinear.vector |
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Methods in org.apache.commons.math3.optim.nonlinear.vector that throw TooManyEvaluationsException | |
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PointVectorValuePair |
JacobianMultivariateVectorOptimizer.optimize(OptimizationData... optData)
Stores data and performs the optimization. |
PointVectorValuePair |
MultivariateVectorOptimizer.optimize(OptimizationData... optData)
Stores data and performs the optimization. |
Uses of TooManyEvaluationsException in org.apache.commons.math3.optim.nonlinear.vector.jacobian |
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Methods in org.apache.commons.math3.optim.nonlinear.vector.jacobian that throw TooManyEvaluationsException | |
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PointVectorValuePair |
AbstractLeastSquaresOptimizer.optimize(OptimizationData... optData)
Stores data and performs the optimization. |
Uses of TooManyEvaluationsException in org.apache.commons.math3.optim.univariate |
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Methods in org.apache.commons.math3.optim.univariate that throw TooManyEvaluationsException | |
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UnivariatePointValuePair |
UnivariateOptimizer.optimize(OptimizationData... optData)
Stores data and performs the optimization. |
Uses of TooManyEvaluationsException in org.apache.commons.math3.optimization.direct |
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Methods in org.apache.commons.math3.optimization.direct that throw TooManyEvaluationsException | |
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protected PointVectorValuePair |
BaseAbstractMultivariateVectorOptimizer.optimize(int maxEval,
FUNC f,
OptimizationData... optData)
Deprecated. Optimize an objective function. |
protected PointValuePair |
BaseAbstractMultivariateOptimizer.optimizeInternal(int maxEval,
FUNC f,
GoalType goalType,
OptimizationData... optData)
Deprecated. Optimize an objective function. |
protected PointVectorValuePair |
BaseAbstractMultivariateVectorOptimizer.optimizeInternal(int maxEval,
FUNC f,
OptimizationData... optData)
Deprecated. Optimize an objective function. |
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