models.pcd.Tests Class Reference

Tests: Some test settings regarding the PCD model simulations. More...

Detailed Description

Tests: Some test settings regarding the PCD model simulations.

Author

Daniel Wirtz

Date

2012-06-11

New in 0.6:

(Daniel Wirtz, 2012-06-11) Added this class.

This class is part of the framework

KerMor - Model Order Reduction using Kernels

• Homepage http://www.morepas.org/software/index.html
• Documentation http://www.morepas.org/software/kermor/index.html
• License KerMor license conditions

Definition at line 19 of file Tests.m.

Static Public Member Functions
static function	reductionErrorAnalysis_2D (d, r, pm)
	% -------------— 2D tests -----------------— Reduction error analysis - computes the reduction errors for training parameters and random parameters More...
static function m =	tests_PCD_DEIM_2D (dim)
	% Model creation functions Original setting for the large-scale reduction up to T=3000 with 200 lin-spaced parameters and 120DEIM, 80JacMDEIM More...
static function m =	tests_PCD_DEIM_2D_500s (dim)
	New configuration with shorter runtime Samples are randomly distributed! More...
static function m =	tests_PCD_DEIM_1D (dim)
static function res =	test_PCDModels ()

Member Function Documentation

function models.pcd.Tests.reductionErrorAnalysis_2D (   d,   r,   pm  )

static

% -------------— 2D tests -----------------— Reduction error analysis - computes the reduction errors for training parameters and random parameters

Required fields of r:

Definition at line 41 of file Tests.m.

References t.

static function res = models.pcd.Tests.test_PCDModels ( )

static

Definition at line 348 of file Tests.m.

References t.

static function m = models.pcd.Tests.tests_PCD_DEIM_1D (   dim )

static

Definition at line 297 of file Tests.m.

References KerMor.App(), and KerMor.getGitBranch().

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function m = models.pcd.Tests.tests_PCD_DEIM_2D (   dim )

static

% Model creation functions Original setting for the large-scale reduction up to T=3000 with 200 lin-spaced parameters and 120DEIM, 80JacMDEIM

Computed partial similarity transform with target size 50 over 20000 eigenvectors. Resulting reduction 50/60000 (99.9167%)

Generated fields of m:

Definition at line 130 of file Tests.m.

References all(), KerMor.App(), KerMor.getGitBranch(), and t.

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function m = models.pcd.Tests.tests_PCD_DEIM_2D_500s (   dim )

static

New configuration with shorter runtime Samples are randomly distributed!

Generated fields of m:

Definition at line 214 of file Tests.m.

References KerMor.App(), KerMor.getGitBranch(), and t.

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

• +models/+pcd/Tests.m