Alex Bespalov

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Gpu Accelerated

Monte Carlo Sampling

Error Estimation

Top Venues

SIAM J. Sci. Comput.

SIAM/ASA J. Uncertain. Quantification

Comput. Math. Appl.

Publications

Alex Bespalov, Andrey Savinov
Convergence analysis of the adaptive stochastic collocation finite element method. CoRR (2024)
Alex Bespalov, Dirk Praetorius, Thomas Round, Andrey Savinov
Goal-Oriented Error Estimation and Adaptivity for Stochastic Collocation FEM. CoRR (2024)
Alex Bespalov, David J. Silvester
Error Estimation and Adaptivity for Stochastic Collocation Finite Elements Part II: Multilevel Approximation. SIAM J. Sci. Comput. 45 (2) (2023)
Alex Bespalov, David J. Silvester, Feng Xu
Error Estimation and Adaptivity for Stochastic Collocation Finite Elements Part I: Single-Level Approximation. SIAM J. Sci. Comput. 44 (5) (2022)
Alex Bespalov, Dirk Praetorius, Michele Ruggeri
Goal-oriented adaptive multilevel stochastic Galerkin FEM. CoRR (2022)
Alex Bespalov, David J. Silvester
Error estimation and adaptivity for stochastic collocation finite elements Part II: multilevel approximation. CoRR (2022)
Arbaz Khan, Alex Bespalov, Catherine E. Powell, David J. Silvester
Robust a posteriori error estimation for parameter-dependent linear elasticity equations. Math. Comput. 90 (328) (2021)
Alex Bespalov, Dirk Praetorius, Michele Ruggeri
Two-Level a Posteriori Error Estimation for Adaptive Multilevel Stochastic Galerkin Finite Element Method. SIAM/ASA J. Uncertain. Quantification 9 (3) (2021)
Alex Bespalov, Daniel Loghin, Rawin Youngnoi
Truncation Preconditioners for Stochastic Galerkin Finite Element Discretizations. SIAM J. Sci. Comput. 43 (5) (2021)
Alex Bespalov, David J. Silvester, Feng Xu
Error estimation and adaptivity for stochastic collocation finite elements Part I: single-level approximation. CoRR (2021)
Alex Bespalov, Leonardo Rocchi, David J. Silvester
T-IFISS: a toolbox for adaptive FEM computation. Comput. Math. Appl. 81 (2021)
Alex Bespalov, Daniel Loghin, Rawin Youngnoi
Truncation Preconditioners for Stochastic Galerkin Finite Element Discretizations. CoRR (2020)
Alex Bespalov, Feng Xu
A posteriori error estimation and adaptivity in stochastic Galerkin FEM for parametric elliptic PDEs: Beyond the affine case. Comput. Math. Appl. 80 (5) (2020)
Alex Bespalov, Dirk Praetorius, Michele Ruggeri
Two-level a posteriori error estimation for adaptive multilevel stochastic Galerkin FEM. CoRR (2020)
Alex Bespalov, Leonardo Rocchi, David J. Silvester
T-IFISS: a toolbox for adaptive FEM computation. CoRR (2019)
Alex Bespalov, Dirk Praetorius, Leonardo Rocchi, Michele Ruggeri
Convergence of Adaptive Stochastic Galerkin FEM. SIAM J. Numer. Anal. 57 (5) (2019)
Alex Bespalov, Leonardo Rocchi
Efficient Adaptive Algorithms for Elliptic PDEs with Random Data. SIAM/ASA J. Uncertain. Quantification 6 (1) (2018)