Zobrazeno 1 - 10
of 2 262
pro vyhledávání: '"Lanser, A."'
Autor:
Klawonn, Axel, Lanser, Martin
Nonlinear domain decomposition methods became popular in recent years since they can improve the nonlinear convergence behavior of Newton's method significantly for many complex problems. In this article, a nonlinear two-level Schwarz approach is con
Externí odkaz:
http://arxiv.org/abs/2409.03041
The virtual element method (VEM) is a family of numerical methods to discretize partial differential equations on general polygonal or polyhedral computational grids. However, the resulting linear systems are often ill-conditioned and robust precondi
Externí odkaz:
http://arxiv.org/abs/2409.02860
Deep convolutional neural networks (CNNs) have been shown to be very successful in a wide range of image processing applications. However, due to their increasing number of model parameters and an increasing availability of large amounts of training
Externí odkaz:
http://arxiv.org/abs/2408.14442
Highly resolved finite element simulations of a laser beam welding process are considered. The thermomechanical behavior of this process is modeled with a set of thermoelasticity equations resulting in a nonlinear, nonsymmetric saddle point system. N
Externí odkaz:
http://arxiv.org/abs/2407.03230
Autor:
Alt, Christoph, Lanser, Martin, Plewinski, Jonas, Janki, Atin, Klawonn, Axel, Köstler, Harald, Selzer, Michael, Rüde, Ulrich
Publikováno v:
International Journal of Parallel, Emergent & Distributed Systems, 2024
For scientific software, especially those used for large-scale simulations, achieving good performance and efficiently using the available hardware resources is essential. It is important to regularly perform benchmarks to ensure the efficient use of
Externí odkaz:
http://arxiv.org/abs/2403.01579
The morphology of nanostructured materials exhibiting a polydisperse porous space, such as aerogels, is very open porous and fine grained. Therefore, a simulation of the deformation of a large aerogel structure resolving the nanostructure would be ex
Externí odkaz:
http://arxiv.org/abs/2403.00571
While linear FETI-DP (Finite Element Tearing and Interconnecting - Dual Primal) is an efficient iterative domain decomposition solver for discretized linear PDEs (partial differential equations), nonlinear FETI-DP is its consequent extension to the n
Externí odkaz:
http://arxiv.org/abs/2312.14252
Hybrid algorithms, which combine black-box machine learning methods with experience from traditional numerical methods and domain expertise from diverse application areas, are progressively gaining importance in scientific machine learning and variou
Externí odkaz:
http://arxiv.org/abs/2312.14050
Autor:
Bhide, Neeraja, Hashimoto, Nanami, Dokurno, Kazimierz, Van der Hoorn, Chris, Hoogendoorn-Lanser, Sascha, Nordhoff, Sina
Automated vehicle acceptance (AVA) has been measured mostly subjectively by questionnaires and interviews, with a main focus on drivers inside automated vehicles (AVs). To ensure that AVs are widely accepted by the public, ensuring the acceptance by
Externí odkaz:
http://arxiv.org/abs/2309.10596
This paper introduces decentralized control concepts for drones using differential game theory. The approach optimizes the behavior of an ego drone, assuming the anticipated behavior of the opponent drones using a receding horizon approach. For each
Externí odkaz:
http://arxiv.org/abs/2308.01069