Interface  Description 

MFWithGradient 
interface for a function of several variables with a gradient

MultivariateFunction 
interface for a function of several variables

UnivariateFunction 
interface for a function of one variable

Class  Description 

Binomial 
Binomial coefficients

BoundsCheckedFunction 
returns a very large number instead of the function value
if arguments are out of bound (useful for minimization with
minimizers that don't check argument boundaries)

ConjugateDirectionSearch 
methods for minimization of a realvalued function of
several variables without using derivatives (Brent's modification
of a conjugate direction search method proposed by Powell)

ConjugateGradientSearch 
minimization of a realvalued function of
several variables using a the nonlinear
conjugate gradient method where several variants of the direction
update are available (FletcherReeves, PolakRibiere,
BealeSorenson, HestenesStiefel) and bounds are respected.

DifferentialEvolution 
global minimization of a realvalued function of several
variables without using derivatives using a genetic algorithm
(Differential Evolution)

ErrorFunction 
error function and related stuff

GammaFunction 
gamma function

GeneralizedDEOptimizer 
Provides an general interface to the DifferentialEvolution class that is not
tied to a certain number of parameters (as DifferentialEvolution is).

LineFunction 
converts a multivariate function into a univariate function

MachineAccuracy 
determines machine accuracy

MathUtils 
Handy utility functions which have some Mathematical relavance.

MersenneTwisterFast 
MersenneTwisterFast:
A simulation quality fast random number generator (MT19937)
with the same public methods as java.util.Random.

MultivariateMinimum 
abstract base class for minimisation of a multivariate function

NumericalDerivative 
approximates numerically the first and second derivatives of a
function of a single variable and approximates gradient and
diagonal of Hessian for multivariate functions

OrthogonalLineFunction 
converts a multivariate function into a univariate function
by keeping all but one argument constant

OrthogonalSearch 
minimization of a realvalued function of
several variables without using derivatives, using the simple
strategy of optimizing variables one by one.

StochasticOSearch 
minimization of a realvalued function of
several variables without using derivatives, using the simple
strategy of optimizing variables one by one.

UnivariateMinimum 
minimization of a realvalued function of one variable
without using derivatives.

UrnModel 
class for drawing numbers from an urn with and
without laying back

Exception  Description 

ConjugateDirectionSearch.OptimizationError 
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