KerMor  0.9
Model order reduction for nonlinear dynamical systems and nonlinear approximation
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Classes | Functions
demos Namespace Reference

Classes

class  BellFunctions
 BellFunctions: Demos regarding the Bell function local Lipschitz estimations. More...
 
class  RandomModelEstimatorAnalyzer
 Demo class for the error estimators. Creates a random model using a kernel expansion that can be configured with the provided properties. More...
 
class  ResponseSurfaceApprox
 This demo shows how the VKOGA algorithm approximates a 2D-1D response surface for different kernel configurations. More...
 
class  SVR
 SVR: Support vector machine related KerMor demos. More...
 
class  VKOGA
 VKOGA: Contains some demo functions for the VKOGA algorithm. More...
 

Functions

function  Basics1_Linear ()
 Basics_Linear: Demo file for KerMor linear models and reduction. More...
 
function  Basics2_Parametrized ()
 Basics2_Parametrized: More...
 
function  Basics3_Nonlinear ()
 Basics3_Nonlinear: More...
 
function  Basics4_NonlinearKernel ()
 Basics4_NonlinearKernel: More...
 
function  Basics5_KernelsAndApprox ()
 Basics5_KernelsAndApprox: More...
 

Function Documentation

function demos.Basics1_Linear ( )

Basics_Linear: Demo file for KerMor linear models and reduction.

Covers
  • Linear system with inputs and outputs
  • Basic plotting of results
  • Different solver selection
  • Mass matrices
Author
Daniel Wirtz
Date
2013-12-17
New in 0.7:
(Daniel Wirtz, 2013-12-17) Added this script.

This class is part of the framework

KerMor - Model Order Reduction using Kernels

Definition at line 18 of file Basics1_Linear.m.

References t.

function demos.Basics2_Parametrized ( )

Basics2_Parametrized:

This demo covers
  • time- and parameter-affine linear system
  • model reduction process for parameterized system with input
  • construction of reduced model
  • simulation of reduced model
  • additional reduction analysis (ModelAnalyzer class)
Author
Daniel Wirtz
Date
2013-12-17
New in 0.7:
(Daniel Wirtz, 2013-12-17) Added this script.

This class is part of the framework

KerMor - Model Order Reduction using Kernels

Definition at line 18 of file Basics2_Parametrized.m.

References k, Utils.sprand(), and t.

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function demos.Basics3_Nonlinear ( )

Basics3_Nonlinear:

  • A nonlinar (burgers) model
  • nonlinear MOR with DEIM-nonlinearity approximation
Author
Daniel Wirtz
Date
2013-12-18
New in 0.7:
(Daniel Wirtz, 2013-12-18) Added this function.

This class is part of the framework

KerMor - Model Order Reduction using Kernels

Definition at line 18 of file Basics3_Nonlinear.m.

References DEIMEstimatorAnalyzer(), and t.

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function demos.Basics4_NonlinearKernel ( )

Basics4_NonlinearKernel:

This covers
  • Nonlinear dynamical system with nonlinearity approximation by kernel methods (VKOGA)
Author
Daniel Wirtz
Date
2013-12-18
New in 0.7:
(Daniel Wirtz, 2013-12-18) Added this function.

This class is part of the framework

KerMor - Model Order Reduction using Kernels

Definition at line 18 of file Basics4_NonlinearKernel.m.

References t.

function demos.Basics5_KernelsAndApprox ( )

Basics5_KernelsAndApprox:

This covers
  • Basic concepts regarding kernel expansions
  • VKOGA approximation
  • Visualization
Author
Daniel Wirtz
Date
2013-12-18
New in 0.7:
(Daniel Wirtz, 2013-12-18) Added this function.

This class is part of the framework

KerMor - Model Order Reduction using Kernels

Definition at line 18 of file Basics5_KernelsAndApprox.m.

References Utils.createCombinations(), FunVis2D(), k, and PlotManager.nextPlot().

Here is the call graph for this function: