Alex Bespalov

21 papers Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Goal-Oriented Adaptivity for Multilevel Stochastic Galerkin FEM with Nonlinear Goal Functionals.
SIAM J. Sci. Comput.
Alex Bespalov, Dirk Praetorius, Michele Ruggeri
2025 J jnl
A neural-network based nonlinear non-intrusive reduced basis method with online adaptation for parametrized partial differential equations.
CoRR
Jingye Li, Alex Bespalov, Jinglai Li
2025 J jnl
An adaptive multimesh rational approximation scheme for the spectral fractional Laplacian.
CoRR
Alex Bespalov, Raphaël Bulle
2025 J jnl
Goal-Oriented Error Estimation and Adaptivity for Stochastic Collocation FEM.
SIAM/ASA J. Uncertain. Quantification
Alex Bespalov, Dirk Praetorius, Thomas Round, Andrey Savinov
2024 J jnl
Convergence analysis of the adaptive stochastic collocation finite element method.
CoRR
Alex Bespalov, Andrey Savinov
2024 J jnl
Goal-Oriented Error Estimation and Adaptivity for Stochastic Collocation FEM.
CoRR
Alex Bespalov, Dirk Praetorius, Thomas Round, Andrey Savinov
2023 J jnl
Error Estimation and Adaptivity for Stochastic Collocation Finite Elements Part II: Multilevel Approximation.
SIAM J. Sci. Comput.
Alex Bespalov, David J. Silvester
2022 J jnl
Error Estimation and Adaptivity for Stochastic Collocation Finite Elements Part I: Single-Level Approximation.
SIAM J. Sci. Comput.
Alex Bespalov, David J. Silvester, Feng Xu
2022 J jnl
Error estimation and adaptivity for stochastic collocation finite elements Part II: multilevel approximation.
CoRR
Alex Bespalov, David J. Silvester
2022 J jnl
Goal-oriented adaptive multilevel stochastic Galerkin FEM.
CoRR
Alex Bespalov, Dirk Praetorius, Michele Ruggeri
2021 J jnl
Error estimation and adaptivity for stochastic collocation finite elements Part I: single-level approximation.
CoRR
Alex Bespalov, David J. Silvester, Feng Xu
2021 J jnl
Robust a posteriori error estimation for parameter-dependent linear elasticity equations.
Math. Comput.
Arbaz Khan, Alex Bespalov, Catherine E. Powell, David J. Silvester
2021 J jnl
T-IFISS: a toolbox for adaptive FEM computation.
Comput. Math. Appl.
Alex Bespalov, Leonardo Rocchi, David J. Silvester
2021 J jnl
Truncation Preconditioners for Stochastic Galerkin Finite Element Discretizations.
SIAM J. Sci. Comput.
Alex Bespalov, Daniel Loghin, Rawin Youngnoi
2021 J jnl
Two-Level a Posteriori Error Estimation for Adaptive Multilevel Stochastic Galerkin Finite Element Method.
SIAM/ASA J. Uncertain. Quantification
Alex Bespalov, Dirk Praetorius, Michele Ruggeri
2020 J jnl
A posteriori error estimation and adaptivity in stochastic Galerkin FEM for parametric elliptic PDEs: Beyond the affine case.
Comput. Math. Appl.
Alex Bespalov, Feng Xu
2020 J jnl
Truncation Preconditioners for Stochastic Galerkin Finite Element Discretizations.
CoRR
Alex Bespalov, Daniel Loghin, Rawin Youngnoi
2020 J jnl
Two-level a posteriori error estimation for adaptive multilevel stochastic Galerkin FEM.
CoRR
Alex Bespalov, Dirk Praetorius, Michele Ruggeri
2019 J jnl
Convergence of Adaptive Stochastic Galerkin FEM.
SIAM J. Numer. Anal.
Alex Bespalov, Dirk Praetorius, Leonardo Rocchi, Michele Ruggeri
2019 J jnl
T-IFISS: a toolbox for adaptive FEM computation.
CoRR
Alex Bespalov, Leonardo Rocchi, David J. Silvester
2018 J jnl
Efficient Adaptive Algorithms for Elliptic PDEs with Random Data.
SIAM/ASA J. Uncertain. Quantification
Alex Bespalov, Leonardo Rocchi