KerMor  0.9
Model order reduction for nonlinear dynamical systems and nonlinear approximation
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StopFlag Class Reference

StopFlag: Flags that algorithms can use to specify the reason for their termination. More...

Detailed Description

StopFlag: Flags that algorithms can use to specify the reason for their termination.

Documentation Update:
Author
Daniel Wirtz
Date
2013-02-20
New in 0.7:
(Daniel Wirtz, 2013-02-20) Added this class.

This class is part of the framework

KerMor - Model Order Reduction using Kernels

Definition at line 17 of file StopFlag.m.

Static Public Attributes

static const  ABS_ERROR = 1
 Absolute error tolerance reached. More...
 
static const  REL_ERROR = 2
 Relative error tolerance reached. More...
 
static const  MAX_SIZE = 3
 Maximum size reached. More...
 
static const  NEGATIVE_POWFUN = 4
 Stop flag from the VKOGA algorithm. More...
 
static const  MAX_ITER = 5
 Maximum number of iterations reached. More...
 
static const  SUCCESS = 6
 Algorithm terminated otherwisely successful. More...
 
static const  NO_SUPPORT_VECTORS_FOUND = 7
 SVR-specific flag that indicates that no support vectors have been found. More...
 
static const  TOL_OK = 8
 SVR-SMO specific flag. Indicates that the E+T values are smaller than the prescribed tolerance. More...
 

Member Data Documentation

StopFlag.ABS_ERROR = 1
static

Absolute error tolerance reached.


Default: 1

Definition at line 38 of file StopFlag.m.

Referenced by approx.algorithms.VKOGA.startAdaptiveExtension().

StopFlag.MAX_ITER = 5
static

Maximum number of iterations reached.


Default: 5

Definition at line 74 of file StopFlag.m.

StopFlag.MAX_SIZE = 3
static

Maximum size reached.


Default: 3

Definition at line 56 of file StopFlag.m.

Referenced by approx.algorithms.VKOGA.startAdaptiveExtension().

StopFlag.NEGATIVE_POWFUN = 4
static

Stop flag from the VKOGA algorithm.


Default: 4

Definition at line 65 of file StopFlag.m.

Referenced by approx.algorithms.VKOGA.startAdaptiveExtension().

StopFlag.NO_SUPPORT_VECTORS_FOUND = 7
static

SVR-specific flag that indicates that no support vectors have been found.


Default: 7

Definition at line 92 of file StopFlag.m.

Referenced by general.regression.BaseScalarSVR.computeKernelCoefficients().

StopFlag.REL_ERROR = 2
static

Relative error tolerance reached.


Default: 2

Definition at line 47 of file StopFlag.m.

Referenced by approx.algorithms.VKOGA.startAdaptiveExtension().

StopFlag.SUCCESS = 6
static

Algorithm terminated otherwisely successful.


Default: 6

Definition at line 83 of file StopFlag.m.

Referenced by general.interpolation.KernelInterpol.computeKernelCoefficients(), general.regression.ScalarNuSVR.regress(), general.regression.ScalarEpsSVR.regress(), and general.regression.KernelLS.regress().

StopFlag.TOL_OK = 8
static

SVR-SMO specific flag. Indicates that the E+T values are smaller than the prescribed tolerance.


Default: 8

Definition at line 101 of file StopFlag.m.

The documentation for this class was generated from the following file: