Package edu.jhu.bme.smile.commons.optimize

Interface Summary

Optimizable1DContinuous	Interface for 1D functions.
Optimizable1DContinuousDifferentiable	Interface for Differentiable 1D functions.
OptimizableNDContinuous	Interface for ND functions.
OptimizableNDContinuousDifferentiable	Interface for Differentiable ND functions.
Optimizer1DContinuous	Interface for 1D optimizers.
Optimizer1DContinuousDifferentiable	Interface for Differentiable 1D functions.
OptimizerNDContinuous	Interface for ND functions.
OptimizerNDContinuousDifferentiable	Interface for Differentiable ND functions.

Class Summary

BrentMethod1D	Optimizes functions by using Brent's method.
DownhillSimplexND	This optimizer uses the Nelder-Mead downhill simplex method to optimize a function.
FunctionNumeric1DDifferentiation	This class does numeric differentiation in 1D.
FunctionNumericND1DDifferentiation	A wrapper class used to facilitate getting derivatives of ND functions along each dimension individually
FunctionNumericNDDifferentiation	This class does numeric differentiation in ND.
GoldenSectionSearch1D	Class GoldenSectionSearch1D Uses the gold section search algorithm to find the minima of a 1D function
LevenbergMarquardt	This optimizer uses the Levenberg Marquardt method in order to find the minimum of a function.
LineSearchND	Uses 1D optimizers to optimize an ND function.
LineSearchNDDifferentiable	Uses Diffentiable 1D optimizers to optimize a Differentiable ND function.
MinToMax1D	Finds the maximum of 1D functions by negating the function and finding the minimum.
MinToMax1DDifferentiable	Finds the maximum of Diffentiable 1D functions by negating the function and finding the minimum.
MinToMaxND	Finds the maximum of ND functions by negating the function and finding the minimum.
MinToMaxNDDifferentiable	Finds the maximum of Differentiable ND functions by negating the function and finding the minimum.
NewtonMethod1D	This optimizer uses Newton's Method of finding roots to find extrema.
ProjectNDto1DOptimizable	Projects an ND function to 1D so that LineSearchND can optimize in one dimension at a time.
ProjectNDto1DOptimizableDifferentiable	Projects a Differentiable ND function to 1D so that LineSearchNDDifferentiable can optimize in one dimension at a time.