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Mattias Sandberg
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2020 – today
- 2024
- [i7]Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy:
Convergence rates for random feature neural network approximation in molecular dynamics. CoRR abs/2406.14791 (2024) - 2023
- [j4]Anna Broms
, Mattias Sandberg, Anna-Karin Tornberg:
A locally corrected multiblob method with hydrodynamically matched grids for the Stokes mobility problem. J. Comput. Phys. 487: 112172 (2023) - [i6]Xin Huang
Path integral molecular dynamics approximations of quantum canonical observables. CoRR abs/2311.17333 (2023) - 2022
- [i5]Anna Broms
A Locally Corrected Multiblob Method with Hydrodynamically Matched Grids for the Stokes Mobility Problem. CoRR abs/2207.11210 (2022) - 2021
- [i4]Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy:
Canonical mean-field molecular dynamics derived from quantum mechanics. CoRR abs/2111.11478 (2021) - 2020
- [i3]Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy:
Adaptive random Fourier features with Metropolis sampling. CoRR abs/2007.10683 (2020) - [i2]Aku Kammonen
Smaller generalization error derived for deep compared to shallow residual neural networks. CoRR abs/2010.01887 (2020)
2010 – 2019
- 2016
- [j3]Eric Joseph Hall
Computable Error Estimates for Finite Element Approximations of Elliptic Partial Differential Equations with Rough Stochastic Data. SIAM J. Sci. Comput. 38(6) (2016) - 2015
- [j2]Jesper Karlsson, Stig Larsson
An Error Estimate for Symplectic Euler Approximation of Optimal Control Problems. SIAM J. Sci. Comput. 37(2) (2015) - 2014
- [i1]Ashraful Kadir, Mattias Sandberg, Anders Szepessy:
An adaptive mass algorithm for Car-Parrinello and Ehrenfest ab initio molecular dynamics. CoRR abs/1409.4992 (2014)
2000 – 2009
- 2008
- [j1]Mattias Sandberg:
Convergence of the Forward Euler Method for Nonconvex Differential Inclusions. SIAM J. Numer. Anal. 47(1): 308-320 (2008)
Coauthor Index
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