Zobrazeno 1 - 10
of 279
pro vyhledávání: '"Langer, Andreas."'
Autor:
Jacumin, Thomas, Langer, Andreas
In this paper, we propose an adaptive finite difference scheme in order to numerically solve total variation type problems for image processing tasks. The automatic generation of the grid relies on indicators derived from a local estimation of the pr
Externí odkaz:
http://arxiv.org/abs/2410.13608
Autor:
Langer, Andreas, Behnamian, Sara
Neural network approaches have been demonstrated to work quite well to solve partial differential equations in practice. In this context approaches like physics-informed neural networks and the Deep Ritz method have become popular. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2409.05569
Based on previous work we extend a primal-dual semi-smooth Newton method for minimizing a general $L^1$-$L^2$-$TV$ functional over the space of functions of bounded variations by adaptivity in a finite element setting. For automatically generating an
Externí odkaz:
http://arxiv.org/abs/2404.03125
Autor:
Langer, Andreas
In this note I define an overconvergent version of prisms and prismatic cohomology as introduced by Bhatt and Scholze and show that overconvergent prismatic cohomology specialises to $p$-adic cohomologies, like Monsky-Washnitzer resp. rigid cohomolog
Externí odkaz:
http://arxiv.org/abs/2308.09423
Autor:
Hilb, Stephan, Langer, Andreas
We consider sequential and parallel decomposition methods for a dual problem of a general total variation minimization problem with applications in several image processing tasks, like image inpainting, estimation of optical flow and reconstruction o
Externí odkaz:
http://arxiv.org/abs/2211.00101
Autor:
Gregory, Oliver, Langer, Andreas
We construct log-motivic cohomology groups for semistable varieties and study the $p$-adic deformation theory of log-motivic cohomology classes. Our main result is the deformational part of a $p$-adic variational Hodge conjecture for varieties with s
Externí odkaz:
http://arxiv.org/abs/2108.02845