KerMor
0.9
Model order reduction for nonlinear dynamical systems and nonlinear approximation
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- b -
B :
dscomponents.LinearInputConv
,
models.BaseFirstOrderSystem
,
models.beam.CurvedBeam
b :
models.motoneuron.NoiseGenerator
,
models.muscle.functions.MarkertLaw
,
models.muscle.functions.MarkertLawOriginal
b1cf :
models.muscle.Dynamics
B3 :
models.beam.CurvedBeam
B4 :
models.beam.CurvedBeam
Ba :
general.geometry.RectGrid3D
Ball :
models.golf.Model
Base :
kernels.KernelExpansion
baseMean :
models.motoneuron.NoiseGenerator
baseNoise :
models.motoneuron.NoiseGenerator
basis_norms :
approx.algorithms.VKOGA
bc_neum_forces_val :
models.muscle.System
bCols :
data.FileMatrix
BeamLineWidth :
models.beam.DynLinTimoshenkoModel
BeamRefinementFactor :
models.beam.DynLinTimoshenkoModel
bellfcn :
error.lipfun.Base
BestCoeffConfig :
approx.algorithms.Componentwise
BestExpConfig :
approx.algorithms.ABase
bestNewtonBasisValuesOnATD :
approx.algorithms.VKOGA
Beta :
approx.TPWLApprox
beta :
kernels.InvMultiquadrics
Bh :
error.DEIMEstimator
bi :
approx.TPWLApprox
BLOCK_SIZE :
data.FileMatrix
BlockSize :
KerMor
BlueCol :
MUnit
Bo :
general.geometry.RectGrid3D
bool_expl_v_bc_nodes :
models.muscle.System
bool_u_bc_nodes :
models.muscle.System
Box :
data.ApproxTrainData
buffer :
MD5_CTX
KerMor 0.9 docs generated by
1.8.6