Uses of Interface
jebl.math.MinimiserMonitor

Packages that use MinimiserMonitor
jebl.math   
 

Uses of MinimiserMonitor in jebl.math
 

Methods in jebl.math that return MinimiserMonitor
static MinimiserMonitor MinimiserMonitor.Utils.createNullMonitor()
          Creates a MinimiserMonitor that looses all output
static MinimiserMonitor MinimiserMonitor.Utils.createSimpleMonitor(PrintWriter output)
          Creates a MinimiserMonitor that outputs current minimum to a print stream
static MinimiserMonitor MinimiserMonitor.Utils.createSplitMonitor(MinimiserMonitor a, MinimiserMonitor b)
          creates a monitor such that all information sent to monitor is based on two sub monitors
static MinimiserMonitor MinimiserMonitor.Utils.createStringMonitor()
          Creates a MinimiserMonitor that Stores output (use toString() to access current results)
static MinimiserMonitor MinimiserMonitor.Utils.createSystemErrorMonitor()
          Creates a MinimiserMonitor that outputs current minimum to a System.err
static MinimiserMonitor MinimiserMonitor.Utils.createSystemOuptutMonitor()
          Creates a MinimiserMonitor that outputs current minimum to a System.out
 

Methods in jebl.math with parameters of type MinimiserMonitor
static MinimiserMonitor MinimiserMonitor.Utils.createSplitMonitor(MinimiserMonitor a, MinimiserMonitor b)
          creates a monitor such that all information sent to monitor is based on two sub monitors
 double OrthogonalSearch.RoundOptimiser.doRound(double[] xvec, UnivariateMinimum um, double tolx, double fx, MinimiserMonitor monitor)
           
 double MultivariateMinimum.findMinimum(MultivariateFunction f, double[] xvec, int fxFracDigits, int xFracDigits, MinimiserMonitor monitor)
          Find minimum close to vector x (desired fractional digits for each parameter is specified)
 void MultivariateMinimum.optimize(MultivariateFunction f, double[] xvec, double tolfx, double tolx, MinimiserMonitor monitor)
          The actual optimization routine It finds a minimum close to vector x when the absolute tolerance for each parameter is specified.
 void OrthogonalSearch.optimize(MultivariateFunction f, double[] xvec, double tolfx, double tolx, MinimiserMonitor monitor)