Self-Adjusting COBRA

Documentation for package ‘SACOBRA’ version 0.7

SACOBRA-package	Self-adjusting Constrained Optimization with RBF
cobraInit	Initial phase for COBRA optimizer
cobraPhaseI	Find a feasible solution.
cobraPhaseII	Improve the feasible solution by searching new infill points
defaultRI	Default settings for 'repairInfeasRI2' and 'repairChootinan'.
defaultSAC	Default settings for the SACOBRA part of COBRA.
defaultTR	Default settings for the trust-region part of COBRA.
forwardRescale	rescaling
getFbest	Return best objective function value
getXbest	Return best feasible solution in original space
interpRBF	Apply cubic or Gaussian RBF interpolation to new data for d>1.
inverseRescale	inverse rescaling
multiCOBRA	Perform multiple COBRA runs
multiRunPlot	Plot the results from multipe COBRA runs.
plog	Monotonic transform
plogReverse	Inverse of 'plog'
predict.RBFinter	Apply cubic or Gaussian RBF interpolation
repairChootinan	Repair an infeasible solution with the method of Chootinan.
repairInfeasRI2	Repair an infeasible solution with the method RI2
SACOBRA	Self-adjusting Constrained Optimization with RBF
setOpts	Merge the options from a partial list and the default list
startCobra	Start COBRA (constraint-based optimization) phase I and/or phase II
trainCubicRBF	Fit cubic RBF interpolation to training data for d>1.
trainGaussRBF	Fit Gaussian RBF model to training data for d>1.
trustRegion	Perform trust region refinement