Package | Description |
---|---|
jdistlib.math.opt |
Modifier and Type | Method and Description |
---|---|
MultivariableFunction |
OptimizationConfig.getObjectiveFunction() |
Modifier and Type | Method and Description |
---|---|
static OptimizationResult |
Bobyqa.bobyqa(double[] x,
double[] xl,
double[] xu,
MultivariableFunction calfun,
int npt,
double rhobeg,
double rhoend,
int maxfun,
boolean isMinimize)
This subroutine seeks the least value of a function of many variables,
by applying a trust region method that forms quadratic models by
interpolation.
|
void |
OptimizationConfig.setObjectiveFunction(MultivariableFunction objectiveFunction) |
Constructor and Description |
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BobyqaConfig(double[] initGuess,
double[] lo,
double[] hi,
MultivariableFunction fun) |
BobyqaConfig(double[] initGuess,
double[] lo,
double[] hi,
MultivariableFunction fun,
int maxCall,
boolean isMin) |
BobyqaConfig(double[] initGuess,
double[] lo,
double[] hi,
MultivariableFunction fun,
int maxCall,
boolean isMin,
double initRad,
double stopRad,
int npt) |
OptimizationConfig(double[] initGuess,
double[] lo,
double[] hi,
MultivariableFunction fun) |
OptimizationConfig(double[] initGuess,
double[] lo,
double[] hi,
MultivariableFunction fun,
int maxCall,
boolean isMin) |