Alex Bespalov
Alex Bespalov
School of Mathematics, University of Birmingham
Verified email at bham.ac.uk - Homepage
Title
Cited by
Cited by
Year
Energy norm a posteriori error estimation for parametric operator equations
A Bespalov, CE Powell, D Silvester
SIAM Journal on Scientific Computing 36 (2), A339-A363, 2014
542014
Efficient adaptive stochastic Galerkin methods for parametric operator equations
A Bespalov, D Silvester
SIAM Journal on Scientific Computing 38 (4), A2118-A2140, 2016
372016
Adaptive FEM with coarse initial mesh guarantees optimal convergence rates for compactly perturbed elliptic problems
A Bespalov, A Haberl, D Praetorius
Computer Methods in Applied Mechanics and Engineering 317, 318-340, 2017
352017
Convergence of the natural hp-BEM for the electric field integral equation on polyhedral surfaces
A Bespalov, N Heuer, R Hiptmair
SIAM Journal Numerical Analysis 48 (4), 1518-1529, 2011
292011
A priori error analysis of stochastic Galerkin mixed approximations of elliptic PDEs with random data
A Bespalov, CE Powell, D Silvester
SIAM Journal on Numerical Analysis 50 (4), 2039-2063, 2012
262012
The hp-version of the boundary element method with quasi-uniform meshes in three dimensions
A Bespalov, N Heuer
ESAIM: Mathematical Modelling and Numerical Analysis 42 (5), 821-849, 2008
252008
On the finite element method for elliptic problems with degenerate and singular coefficients
D Arroyo, A Bespalov, N Heuer
Mathematics of Computation 76 (258), 509-537, 2007
242007
The p-version of the boundary element method for hypersingular operators on piecewise plane open surfaces
A Bespalov, N Heuer
Numerische Mathematik 100 (2), 185-209, 2005
232005
Efficient adaptive algorithms for elliptic PDEs with random data
A Bespalov, L Rocchi
SIAM/ASA Journal on Uncertainty Quantification 6 (1), 243-272, 2018
202018
Goal-oriented error estimation and adaptivity for elliptic PDEs with parametric or uncertain inputs
A Bespalov, D Praetorius, L Rocchi, M Ruggeri
Computer Methods in Applied Mechanics and Engineering 345, 951-982, 2019
182019
Efficient adaptive multilevel stochastic Galerkin approximation using implicit a posteriori error estimation
AJ Crowder, CE Powell, A Bespalov
SIAM Journal on Scientific Computing 41 (3), A1681-A1705, 2019
182019
The p-version of the boundary element method for weakly singular operators on piecewise plane open surfaces
A Bespalov, N Heuer
Numerische Mathematik 106 (1), 69-97, 2007
172007
Convergence of adaptive stochastic Galerkin FEM
A Bespalov, D Praetorius, L Rocchi, M Ruggeri
SIAM Journal on Numerical Analysis 57 (5), 2359-2382, 2019
152019
The exponential rate of convergence of the finite-element method for the Dirichlet problem with singularity of the solution
AY Bespalov, VA Rukavishnikov
Doklady Mathematics 62 (2), 266-270, 2000
152000
Adaptive BEM with optimal convergence rates for the Helmholtz equation
A Bespalov, T Betcke, A Haberl, D Praetorius
Computer Methods in Applied Mechanics and Engineering 346, 260-287, 2019
142019
Natural p-BEM for the electric field integral equation on screens
A Bespalov, N Heuer
IMA journal of numerical analysis 30 (3), 595-628, 2010
132010
The hp-BEM with quasi-uniform meshes for the electric field integral equation on polyhedral surfaces: a priori error analysis
A Bespalov, N Heuer
Applied numerical mathematics 60 (7), 705-718, 2010
122010
T-IFISS: a toolbox for adaptive FEM computation
A Bespalov, L Rocchi, D Silvester
Computers & Mathematics with Applications 81, 373-390, 2021
112021
The use of singular functions in the h-p version of the finite element method for a Dirichlet problem with degeneration of the input data
AY Bespalov, VA Rukavishnikov
Сибирский журнал вычислительной математики 4 (3), 201-228, 2001
102001
A posteriori error estimation and adaptivity in stochastic Galerkin FEM for parametric elliptic PDEs: beyond the affine case
A Bespalov, F Xu
Computers & Mathematics with Applications 80 (5), 1084-1103, 2020
82020
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Articles 1–20