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Packages that use RealPointValuePair | |
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org.apache.commons.math.optimization | This package provides common interfaces for the optimization algorithms provided in sub-packages. |
org.apache.commons.math.optimization.direct | This package provides optimization algorithms that don't require derivatives. |
org.apache.commons.math.optimization.general | This package provides optimization algorithms that require derivatives. |
org.apache.commons.math.optimization.linear | This package provides optimization algorithms for linear constrained problems. |
Uses of RealPointValuePair in org.apache.commons.math.optimization |
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Methods in org.apache.commons.math.optimization that return RealPointValuePair | |
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RealPointValuePair[] |
MultiStartDifferentiableMultivariateRealOptimizer.getOptima()
Get all the optima found during the last call to optimize . |
RealPointValuePair[] |
MultiStartMultivariateRealOptimizer.getOptima()
Get all the optima found during the last call to optimize . |
RealPointValuePair |
MultiStartDifferentiableMultivariateRealOptimizer.optimize(DifferentiableMultivariateRealFunction f,
GoalType goalType,
double[] startPoint)
Optimizes an objective function. |
RealPointValuePair |
DifferentiableMultivariateRealOptimizer.optimize(DifferentiableMultivariateRealFunction f,
GoalType goalType,
double[] startPoint)
Optimizes an objective function. |
RealPointValuePair |
MultivariateRealOptimizer.optimize(MultivariateRealFunction f,
GoalType goalType,
double[] startPoint)
Optimizes an objective function. |
RealPointValuePair |
MultiStartMultivariateRealOptimizer.optimize(MultivariateRealFunction f,
GoalType goalType,
double[] startPoint)
Optimizes an objective function. |
Methods in org.apache.commons.math.optimization with parameters of type RealPointValuePair | |
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boolean |
SimpleScalarValueChecker.converged(int iteration,
RealPointValuePair previous,
RealPointValuePair current)
Check if the optimization algorithm has converged considering the last points. |
boolean |
SimpleRealPointChecker.converged(int iteration,
RealPointValuePair previous,
RealPointValuePair current)
Check if the optimization algorithm has converged considering the last points. |
boolean |
RealConvergenceChecker.converged(int iteration,
RealPointValuePair previous,
RealPointValuePair current)
Check if the optimization algorithm has converged considering the last points. |
Uses of RealPointValuePair in org.apache.commons.math.optimization.direct |
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Fields in org.apache.commons.math.optimization.direct declared as RealPointValuePair | |
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protected RealPointValuePair[] |
DirectSearchOptimizer.simplex
Simplex. |
Methods in org.apache.commons.math.optimization.direct that return RealPointValuePair | |
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protected RealPointValuePair |
PowellOptimizer.doOptimize()
Perform the bulk of optimization algorithm. |
RealPointValuePair |
DirectSearchOptimizer.optimize(MultivariateRealFunction function,
GoalType goalType,
double[] startPoint)
Optimizes an objective function. |
Methods in org.apache.commons.math.optimization.direct with parameters of type RealPointValuePair | |
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protected void |
DirectSearchOptimizer.replaceWorstPoint(RealPointValuePair pointValuePair,
Comparator<RealPointValuePair> comparator)
Replace the worst point of the simplex by a new point. |
Method parameters in org.apache.commons.math.optimization.direct with type arguments of type RealPointValuePair | |
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protected void |
DirectSearchOptimizer.evaluateSimplex(Comparator<RealPointValuePair> comparator)
Evaluate all the non-evaluated points of the simplex. |
protected void |
MultiDirectional.iterateSimplex(Comparator<RealPointValuePair> comparator)
Compute the next simplex of the algorithm. |
protected void |
NelderMead.iterateSimplex(Comparator<RealPointValuePair> comparator)
Compute the next simplex of the algorithm. |
protected abstract void |
DirectSearchOptimizer.iterateSimplex(Comparator<RealPointValuePair> comparator)
Compute the next simplex of the algorithm. |
protected void |
DirectSearchOptimizer.replaceWorstPoint(RealPointValuePair pointValuePair,
Comparator<RealPointValuePair> comparator)
Replace the worst point of the simplex by a new point. |
Uses of RealPointValuePair in org.apache.commons.math.optimization.general |
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Methods in org.apache.commons.math.optimization.general that return RealPointValuePair | |
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protected abstract RealPointValuePair |
AbstractScalarDifferentiableOptimizer.doOptimize()
Perform the bulk of optimization algorithm. |
protected RealPointValuePair |
NonLinearConjugateGradientOptimizer.doOptimize()
Perform the bulk of optimization algorithm. |
RealPointValuePair |
AbstractScalarDifferentiableOptimizer.optimize(DifferentiableMultivariateRealFunction f,
GoalType goalType,
double[] startPoint)
Optimizes an objective function. |
Uses of RealPointValuePair in org.apache.commons.math.optimization.linear |
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Methods in org.apache.commons.math.optimization.linear that return RealPointValuePair | |
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protected abstract RealPointValuePair |
AbstractLinearOptimizer.doOptimize()
Perform the bulk of optimization algorithm. |
RealPointValuePair |
SimplexSolver.doOptimize()
Perform the bulk of optimization algorithm. |
RealPointValuePair |
AbstractLinearOptimizer.optimize(LinearObjectiveFunction f,
Collection<LinearConstraint> constraints,
GoalType goalType,
boolean restrictToNonNegative)
Optimizes an objective function. |
RealPointValuePair |
LinearOptimizer.optimize(LinearObjectiveFunction f,
Collection<LinearConstraint> constraints,
GoalType goalType,
boolean restrictToNonNegative)
Optimizes an objective function. |
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