Mattias Sandberg

According to our database, Mattias Sandberg authored at least 10 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Convergence rates for random feature neural network approximation in molecular dynamics.

Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2024

2023

A locally corrected multiblob method with hydrodynamically matched grids for the Stokes mobility problem.

Anna Broms, Mattias Sandberg, Anna-Karin Tornberg

J. Comput. Phys., 2023

Path integral molecular dynamics approximations of quantum canonical observables.

Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2023

2021

Canonical mean-field molecular dynamics derived from quantum mechanics.

Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2021

2020

Smaller generalization error derived for deep compared to shallow residual neural networks.

Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy, Raúl Tempone

CoRR, 2020

Adaptive random Fourier features with Metropolis sampling.

Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2020

2016

Computable Error Estimates for Finite Element Approximations of Elliptic Partial Differential Equations with Rough Stochastic Data.

Eric Joseph Hall, Håkon Hoel, Mattias Sandberg, Anders Szepessy, Raúl Tempone

SIAM J. Sci. Comput., 2016

2015

An Error Estimate for Symplectic Euler Approximation of Optimal Control Problems.

Jesper Karlsson, Stig Larsson, Mattias Sandberg, Anders Szepessy, Raúl Tempone

SIAM J. Sci. Comput., 2015

2014

An adaptive mass algorithm for Car-Parrinello and Ehrenfest ab initio molecular dynamics.

Ashraful Kadir, Mattias Sandberg, Anders Szepessy

CoRR, 2014

2008

Convergence of the Forward Euler Method for Nonconvex Differential Inclusions.

Mattias Sandberg

SIAM J. Numer. Anal., 2008