2 papers
eess.SY2025
Revisiting Functional Derivatives in Multi-object Tracking
Jan Krejčí, Ondřej 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.AP2022
On the Strong Comparison Principle for Degenerate Elliptic Problems with Convection
Jiří Benedikt, Petr Girg, Lukáš Kotrla +1
The weak and strong comparison principles, respectively, are investigated for quasi-linear elliptic boundary value problems with the -Laplacian in one space dimension. We treat…