litvinen
I develop low-rank tensor methods for solving Partial Differential Equations with uncertainties. This task is strongly connected with Bayesian theory and data a
RWTH Aachen, GermanyAachen, Germany
Pinned Repositories
colab_CSE
I am trying different python codes from YouTube lessons, which solve some actual problems. Some of these problems are present on www.kagle.com
Divergence_in_tensors
HLIBCov
Parallel HLIBPro C++ code for approximating large covariance matrices and joint multivariate likelihood functions
HM3_WS24-25
inlapardiso
C-interface between INLA and Pardiso
large_random_fields
Generate large random fields, identify unknown parameters
mimclib
A software library for UQ methods
pardiso_shaheen
sglib
A Matlab/Octave toolbox for stochastic Galerkin methods
litvinen's Repositories
litvinen/HLIBCov
Parallel HLIBPro C++ code for approximating large covariance matrices and joint multivariate likelihood functions
litvinen/large_random_fields
Generate large random fields, identify unknown parameters
litvinen/Divergence_in_tensors
litvinen/sglib
A Matlab/Octave toolbox for stochastic Galerkin methods
litvinen/colab_CSE
I am trying different python codes from YouTube lessons, which solve some actual problems. Some of these problems are present on www.kagle.com
litvinen/HM3_WS24-25
litvinen/inlapardiso
C-interface between INLA and Pardiso
litvinen/mimclib
A software library for UQ methods
litvinen/pardiso_shaheen