A B C D E F G H I M O P Q R S U V

G

getAbsoluteTolerance() - Method in class edu.stanford.rsl.jpop.SimpleFunctionOptimizer

getAssembler() - Method in class edu.stanford.rsl.jpop.FunctionController

getBlock() - Method in class edu.stanford.rsl.jpop.BlockThread

getFunction() - Method in class edu.stanford.rsl.jpop.BlockThread

getFunctionAtOptimum() - Method in class edu.stanford.rsl.jpop.FunctionOptimizer

getGradientAtOptimum() - Method in class edu.stanford.rsl.jpop.FunctionOptimizer

getHessianAtOptimum() - Method in class edu.stanford.rsl.jpop.FunctionOptimizer

getInitialGuess() - Method in class edu.stanford.rsl.jpop.SimpleFunctionOptimizer

getLatch() - Method in class edu.stanford.rsl.jpop.BlockThread

getLeftEndPoint() - Method in class edu.stanford.rsl.jpop.SimpleFunctionOptimizer

getMode() - Method in class edu.stanford.rsl.jpop.BlockThread

getNumberOfProcessingBlocks() - Method in interface edu.stanford.rsl.jpop.OptimizableFunction

returns the number of parallel processing blocks.

getNumberOfProcessingBlocks() - Method in class edu.stanford.rsl.jpop.testing.UncminTest_f77

getOptimizationMode() - Method in class edu.stanford.rsl.jpop.FunctionOptimizer

getOptimum() - Method in class edu.stanford.rsl.jpop.FunctionOptimizer

getRelativeTolerance() - Method in class edu.stanford.rsl.jpop.SimpleFunctionOptimizer

getResult() - Method in class edu.stanford.rsl.jpop.BlockThread

getRightEndPoint() - Method in class edu.stanford.rsl.jpop.SimpleFunctionOptimizer

getTerminationCode() - Method in class edu.stanford.rsl.jpop.FunctionOptimizer

returns the TerminationCode of the Optimization process.

getX() - Method in class edu.stanford.rsl.jpop.BlockThread

gradient(GradientOptimizableFunction, double[]) - Method in class edu.stanford.rsl.jpop.FunctionController

Evaluates the given Function's Gradient and returns the result.

gradient(double[], int) - Method in interface edu.stanford.rsl.jpop.GradientOptimizableFunction

Computes the Gradient at position x.

gradient(GradientOptimizableFunction, double[]) - Method in class edu.stanford.rsl.jpop.ParallelFunctionController

gradient(GradientOptimizableFunction, double[]) - Method in class edu.stanford.rsl.jpop.SimpleFunctionController

gradient(double[], int) - Method in class edu.stanford.rsl.jpop.testing.UncminTest_f77

GradientOptimizableFunction - Interface in edu.stanford.rsl.jpop