3 papers
eess.SY2025
Revisiting Functional Derivatives in Multi-object Tracking
Jan KrejÄÃ, OndÅej Straka, Petr Girg +1
Probability generating functionals (PGFLs) are efficient and powerful tools for tracking independent objects in clutter. It was shown that PGFLs could be used for the elegant deriv…
math.AP2025
Modeling of groundwater flow in porous medium layered over inclined impermeable bed
Petr Girg, Lukáš Kotrla
We propose a new mathematical model of groundwater flow in porous medium layered over inclined impermeable bed. In its full generality, this is a free-surface problem. To obtain an…
math.AP2024
The p-Laplacian: phenomenological modelling of the flow in porous media and CFD simulations
Petr Girg, Lukáš Kotrla, Anežka Švandová
The aim of this paper is to discuss several aspects of connections between the p-Laplacian and mathematical models in hydrology. At first we present models of groundwater flow in p…