Следене
Erik von Schwerin
Erik von Schwerin
Потвърден имейл адрес: kaust.edu.sa
Заглавие
Позовавания
Позовавания
Година
A continuation multilevel Monte Carlo algorithm
N Collier, AL Haji-Ali, F Nobile, E Von Schwerin, R Tempone
BIT Numerical Mathematics 55, 399-432, 2015
1552015
Analysis of Discrete Projection on Polynomial Spaces with Random Evaluations
G Migliorati, F Nobile, E Von Schwerin, R Tempone
Foundations of Computational Mathematics 14 (3), 419-456, 2014
1212014
Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete Projection on Polynomial Spaces
G Migliorati, F Nobile, E von Schwerin, R Tempone
SIAM Journal on Scientific Computing 35 (3), A1440-A1460, 2013
992013
Optimization of mesh hierarchies in multilevel Monte Carlo samplers
AL Haji-Ali, F Nobile, E von Schwerin, R Tempone
Stochastics and Partial Differential Equations Analysis and Computations 4 …, 2016
722016
Optimization of mesh hierarchies in multilevel Monte Carlo samplers
AL Haji-Ali, F Nobile, E von Schwerin, R Tempone
Stochastics and Partial Differential Equations Analysis and Computations 4 …, 2016
722016
Adaptive multilevel monte carlo simulation
H Hoel, E Schwerin, A Szepessy, R Tempone
Numerical Analysis of Multiscale Computations, 217-234, 2012
702012
Implementation and analysis of an adaptive multilevel Monte Carlo algorithm
H Hoel, E Von Schwerin, A Szepessy, R Tempone
Monte Carlo Methods and Applications 20 (1), 1-41, 2014
552014
Adaptive Monte Carlo algorithms for stopped diffusion
A Dzougoutov, KS Moon, E von Schwerin, A Szepessy, R Tempone
Multiscale methods in science and engineering, 59-88, 2005
362005
On nonasymptotic optimal stopping criteria in Monte Carlo simulations
C Bayer, H Hoel, E Von Schwerin, R Tempone
SIAM Journal on Scientific Computing 36 (2), A869-A885, 2014
352014
Convergence rates for an adaptive dual weighted residual finite element algorithm
KS Moon, E von Schwerin, A Szepessy, R Tempone
BIT Numerical Mathematics 46, 367-407, 2006
222006
An adaptive algorithm for ordinary, stochastic and partial differential equations
KS Moon, E Von Schwerin, A Szepessy, R Tempone
American Mathematical Society, 2005
202005
A Wasserstein coupled particle filter for multilevel estimation
M Ballesio, A Jasra, E von Schwerin, R Tempone
Stochastic Analysis and Applications, 1-40, 2022
132022
Multilevel Monte Carlo acceleration of seismic wave propagation under uncertainty
M Ballesio, J Beck, A Pandey, L Parisi, E von Schwerin, R Tempone
GEM-International Journal on Geomathematics 10 (1), 22, 2019
132019
Goal-oriented adaptive finite element multilevel Monte Carlo with convergence rates
J Beck, Y Liu, E von Schwerin, R Tempone
Computer Methods in Applied Mechanics and Engineering 402, 115582, 2022
92022
A stochastic phase-field model determined from molecular dynamics
E von Schwerin, A Szepessy
ESAIM: Mathematical Modelling and Numerical Analysis 44 (4), 627-646, 2010
72010
A Stochastic Phase-Field Model Computed From Coarse-Grained Molecular Dynamics
E Von Schwerin
arXiv preprint arXiv:0908.1367, 2009
22009
Multi-level Monte Carlo acceleration of computations on multi-layer materials with random defects
P Plecháč, E von Schwerin
arXiv preprint arXiv:1611.09784, 2016
12016
Adaptivity for Stochastic and Partial Differential Equations with Applications to Phase Transformations
E Von Schwerin
KTH, 2007
12007
Adaptive Monte Carlo Algorithms for Stopped Diffusion
KS Moon, E von Schwerin, A Szepessy, R Tempone
Technical report, NADA, Royal Institute of Technology, 2003
12003
Multilevel Monte Carlo (MLMC) Acceleration of Seismic Wave Propagation under Uncertainty
M Ballesio, J Beck, A Pandey, L Parisi, E von Schwerin, R Tempone
2018
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Статии 1–20