KerMor
0.9
Model order reduction for nonlinear dynamical systems and nonlinear approximation
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- n -
N() :
fem.BaseFEM
,
fem.HexahedronSerendipity
,
fem.HexahedronTrilinear
,
fem.HexahedronTriquadratic
ne() :
data.FileMatrix
,
KerMorObject
NeumannPressure() :
models.muscle.tests.NeumannPressure
newClass() :
Devel
newCoeffs() :
demos.RandomModelEstimatorAnalyzer
newDim() :
models.burgers.BurgersF
,
models.burgers.BurgersF_NoA
,
models.burgers.BurgersSys
,
models.burgers.BurgersSys_A
newFun() :
Devel
newSysDimension() :
models.pcd.BasePCDSystem
,
models.pcd.CoreFun1D
,
models.pcd.CoreFun2D
,
models.pcd.CoreFun3D
,
models.pcd.PCDSystem1D
,
models.pcd.PCDSystem2D
,
models.pcd.PCDSystem3D
,
models.pcdi.BasePCDISystem
,
models.pcdi.CoreFun2D
,
models.pcdi.InhibitCoreFun2D
,
models.pcdi.PCDISystem2D
NewtonBasis_Schaback() :
demos.VKOGA
NewtonPenalty() :
demos.BellFunctions
nextColor() :
LineSpecIterator
nextColorLineStyle() :
LineSpecIterator
nextLineStyle() :
LineSpecIterator
nextMarkerStyle() :
LineSpecIterator
nextMonomial() :
MonomialIterator
nextPlot() :
PlotManager
nextShortColor() :
LineSpecIterator
nicesurf() :
LogPlot
nicesurfc() :
LogPlot
nodepos() :
models.pcdi.BaseCoreFun
NoiseGenerator() :
models.motoneuron.NoiseGenerator
NoKernel() :
kernels.NoKernel
normalize() :
kernels.KernelExpansion
normalizeL2() :
Norm
numel() :
data.FileMatrix
NuSVRConfig() :
general.regression.NuSVRConfig
KerMor 0.9 docs generated by
1.8.6