See: Description
| Interface | Description |
|---|---|
| FunctionMinimizer<InputType,OutputType,EvaluatorType extends Evaluator<? super InputType,? extends OutputType>> |
Interface for unconstrained minimization of nonlinear functions.
|
| Class | Description |
|---|---|
| AbstractAnytimeFunctionMinimizer<InputType,OutputType,EvaluatorType extends Evaluator<? super InputType,? extends OutputType>> |
A partial implementation of a minimization algorithm that is iterative,
stoppable, and approximate.
|
| FunctionMinimizerBFGS |
Implementation of the Broyden-Fletcher-Goldfarb-Shanno (BFGS) Quasi-Newton
nonlinear minimization algorithm.
|
| FunctionMinimizerConjugateGradient |
Conjugate gradient method is a class of algorithms for finding the
unconstrained local minimum of a nonlinear function.
|
| FunctionMinimizerDFP |
Implementation of the Davidon-Fletcher-Powell (DFP) formula for a
Quasi-Newton minimization update.
|
| FunctionMinimizerDirectionSetPowell |
Implementation of the derivative-free unconstrained nonlinear direction-set
minimization algorithm called "Powell's Method" by Numerical Recipes.
|
| FunctionMinimizerFletcherReeves |
This is an implementation of the Fletcher-Reeves conjugate gradient
minimization procedure.
|
| FunctionMinimizerGradientDescent |
This is an implementation of the classic Gradient Descent algorithm, also
known as Steepest Descent, Backpropagation (for neural nets), or Hill
Climbing.
|
| FunctionMinimizerLiuStorey |
This is an implementation of the Liu-Storey conjugate gradient
minimization procedure.
|
| FunctionMinimizerNelderMead |
Implementation of the Downhill Simplex minimization algorithm, also known as
the Nelder-Mead method.
|
| FunctionMinimizerPolakRibiere |
This is an implementation of the Polack-Ribiere conjugate gradient
minimization procedure.
|
| FunctionMinimizerQuasiNewton |
This is an abstract implementation of the Quasi-Newton minimization method,
sometimes called "Variable-Metric methods."
This family of minimization algorithms uses first-order gradient information
to find a locally minimum to a scalar function.
|
| MinimizationStoppingCriterion |
Implementation of almost zero-gradient convergence test for function
minimizers.
|