Zobrazeno 1 - 10
of 1 557
pro vyhledávání: '"Loffeld, A."'
Autor:
Tsai, Ping-Hsuan, Chung, Seung Whan, Ghosh, Debojyoti, Loffeld, John, Choi, Youngsoo, Belof, Jonathan L.
Despite the advancements in high-performance computing and modern numerical algorithms, the cost remains prohibitive for multi-query kinetic plasma simulations. In this work, we develop data-driven reduced-order models (ROM) for collisionless electro
Externí odkaz:
http://arxiv.org/abs/2310.18493
Large-scale multiphysics simulations are computationally challenging due to the coupling of multiple processes with widely disparate time scales. The advent of exascale computing systems exacerbates these challenges, since these enable ever increasin
Externí odkaz:
http://arxiv.org/abs/2211.03293
Autor:
LOFFELD, JAN1
Publikováno v:
Herder Korrespondenz. Nov2024, Vol. 78 Issue 11, p29-32. 4p.
Autor:
Loffeld, Jan
Publikováno v:
Münchener Theologische Zeitschrift. 2024, Vol. 75 Issue 3, p307-324. 18p.
Publikováno v:
In Journal of Computational Physics 15 July 2024 509
This work considers multirate generalized-structure additively partitioned Runge-Kutta (MrGARK) methods for solving stiff systems of ordinary differential equations (ODEs) with multiple time scales. These methods treat different partitions of the sys
Externí odkaz:
http://arxiv.org/abs/1910.14079
Although this work is a bit theoretical and contains lots of derivations, it leads to very explicit practical results in bistatic focusing. Our approach is based on Loffelds bistatic formula describing the point targets reference spectrum for arbitra
Externí odkaz:
http://arxiv.org/abs/1908.06854
Autor:
Loffeld, Jan1
Publikováno v:
Lebendige Seelsorge. 2024, Issue 1, p2-7. 6p.
This paper describes some new results on recursive l_1-minimizing by Kalman filtering. We consider the l_1-norm as an explicit constraint, formulated as a nonlinear observation of the state to be estimated. Interpretiing a sparse vector to be estimat
Externí odkaz:
http://arxiv.org/abs/1808.06538
The idea of compressed sensing is to exploit representations in suitable (overcomplete) dictionaries that allow to recover signals far beyond the Nyquist rate provided that they admit a sparse representation in the respective dictionary. The latter g
Externí odkaz:
http://arxiv.org/abs/1806.08296