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pro vyhledávání: '"Krotz, Johannes"'
A Bayesian data assimilation scheme is formulated for advection-dominated advective and diffusive evolutionary problems, based upon the Dynamic Likelihood (DLF) approach to filtering. The DLF was developed specifically for hyperbolic problems -waves-
Externí odkaz:
http://arxiv.org/abs/2406.06837
Autor:
Krotz, Johannes
The Kalman gain is commonly derived as the minimizer of the trace of theposterior covariance. It is known that it also minimizes the determinant of the posterior covariance. I will show that it also minimizes the smallest Eigenvalue $\lambda_1$ and t
Externí odkaz:
http://arxiv.org/abs/2404.10191
We present a hybrid method for time-dependent particle transport problems that combines Monte Carlo (MC) estimation with deterministic solutions based on discrete ordinates. For spatial discretizations, the MC algorithm computes a piecewise constant
Externí odkaz:
http://arxiv.org/abs/2312.04217
We present the near-Maximal Algorithm for Poisson-disk Sampling (nMAPS) to generate point distributions for variable resolution Delaunay triangular and tetrahedral meshes in two and three-dimensions, respectively. nMAPS consists of two principal stag
Externí odkaz:
http://arxiv.org/abs/2111.13742
Publikováno v:
In Journal of Computational Physics 1 October 2024 514
We propose a two-stage algorithm for generating Delaunay triangulations in 2D and Delaunay tetrahedra in 3D that employs near maximal Poisson-disk sampling. The method generates a variable resolution mesh in 2- and 3-dimensions in linear run time. Th
Externí odkaz:
http://arxiv.org/abs/2105.10079
Publikováno v:
In Journal of Computational and Applied Mathematics June 2022 407