alexander-litvinenko documents

Uncertainties Quantification and Data Compression in numerical Aerodynamics
Documents Uncertainties Quantification and Data Compression in numerical Aerodynamics
Low-rank tensor methods for stochastic forward and inverse problems
Education Low-rank tensor methods for stochastic forward and inverse problems
My PhD talk "Application of H-matrices for computing partial inverse"
Education My PhD talk "Application of H-matrices for computing partial inverse"
Possible applications of low-rank tensors in statistics and UQ (my talk in Bonn, Germany)
Education Possible applications of low-rank tensors in statistics and UQ (my talk in Bonn, Germany)
My PhD on 4 pages
Education My PhD on 4 pages
Data sparse approximation of the Karhunen-Loeve expansion
Education Data sparse approximation of the Karhunen-Loeve expansion
Application H-matrices for solving PDEs with multi-scale coefficients, jumping and strongly oscillatory coefficients
Education Application H-matrices for solving PDEs with multi-scale coefficients, jumping and strongly oscillatory coefficients
My paper for Domain Decomposition Conference in Strobl, Austria, 2005
Education My paper for Domain Decomposition Conference in Strobl, Austria, 2005
Data sparse approximation of the Karhunen-Loeve expansion
Education Data sparse approximation of the Karhunen-Loeve expansion
Multi-linear algebra and different tensor formats with applications
Engineering Multi-linear algebra and different tensor formats with applications
Tensor train to solve stochastic PDEs
Education Tensor train to solve stochastic PDEs
Connection between inverse problems and uncertainty quantification problems
Education Connection between inverse problems and uncertainty quantification problems
Application of hierarchical matrices for partial inverse
Education Application of hierarchical matrices for partial inverse
add_2_diplom_main
Documents add_2_diplom_main
Efficient Analysis of high-dimensional data in tensor formats
Education Efficient Analysis of high-dimensional data in tensor formats
Sampling and low-rank tensor approximations
Education Sampling and low-rank tensor approximations
A nonlinear approximation of the Bayesian Update formula
Education A nonlinear approximation of the Bayesian Update formula
Scalable hierarchical algorithms for stochastic PDEs and UQ
Education Scalable hierarchical algorithms for stochastic PDEs and UQ
Low-rank methods for analysis of high-dimensional data (SIAM CSE talk 2017)
Education Low-rank methods for analysis of high-dimensional data (SIAM CSE talk 2017)
Tensor Completion for PDEs with uncertain coefficients and Bayesian Update techniques
Education Tensor Completion for PDEs with uncertain coefficients and Bayesian Update techniques
Computation of Electromagnetic Fields Scattered from Dielectric Objects of Uncertain Shapes Using Multi Level Monte Carlo
Education Computation of Electromagnetic Fields Scattered from Dielectric Objects of Uncertain Shapes Using Multi Level Monte Carlo