SLAR method with implicit LoMaC correction and adaptive-weight projection conserves mass, momentum, and energy for the Vlasov-Poisson system up to 2D-2V while retaining large time steps and high-order accuracy.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
Gives necessary and sufficient exactness certificates based on primal and dual feasibility for when a violated-set closed-form correction equals the exact Euclidean projection in CBF safety filters.
For multi-strain epidemic models with independent rank-one transmission blocks, explicit Lyapunov functions prove competitive exclusion: generically one strain persists, coexistence only on lower-dimensional tie surfaces.
citing papers explorer
-
A Mass, Momentum, and Energy Conserving Semi-Lagrangian Adaptive-Rank (SLAR) Method for the Vlasov-Poisson System
SLAR method with implicit LoMaC correction and adaptive-weight projection conserves mass, momentum, and energy for the Vlasov-Poisson system up to 2D-2V while retaining large time steps and high-order accuracy.
-
Exactness Certificates for Closed-Form CBF Safety-Filter Projections
Gives necessary and sufficient exactness certificates based on primal and dual feasibility for when a violated-set closed-form correction equals the exact Euclidean projection in CBF safety filters.
-
A Perron-Volterra Lyapunov function for mathematical epidemiology reaction networks (MERN) with non-interacting rank-one strains
For multi-strain epidemic models with independent rank-one transmission blocks, explicit Lyapunov functions prove competitive exclusion: generically one strain persists, coexistence only on lower-dimensional tie surfaces.