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math.NA2025

Second-order invariant-domain preserving approximation to the multi-species Euler equations

Bennett Clayton, Tarik Dzanic, Eric J. Tovar

This work is concerned with constructing a second-order, invariant-domain preserving approximation of the compressible multi-species Euler equations where each species is modeled b…

math.NA2025

A method for bounding high-order finite element functions: Applications to mesh validity and bounds-preserving limiters

Tarik Dzanic, Tzanio Kolev, Ketan Mittal

We introduce a novel method for bounding high-order multi-dimensional polynomials in finite element approximations. The method involves precomputing optimal piecewise-linear boundi…

math.NA2025

High-order limiting methods using maximum principle bounds derived from the Boltzmann equation I: Euler equations

Tarik Dzanic, Luigi Martinelli

The use of limiting methods for high-order numerical approximations of hyperbolic conservation laws generally requires defining an admissible region/bounds for the solution. In thi…

math.NA2024

A note on higher-order and nonlinear limiting approaches for continuously bounds-preserving discontinuous Galerkin methods

Tarik Dzanic

In (Dzanic, J. Comp. Phys., 508:113010, 2024), a limiting approach for high-order discontinuous Galerkin schemes was introduced which allowed for imposing constraints on the soluti…

math.NA2024

Continuously bounds-preserving discontinuous Galerkin methods for hyperbolic conservation laws

Tarik Dzanic

For finite element approximations of transport phenomena, it is often necessary to apply a form of limiting to ensure that the discrete solution remains well-behaved and satisfies…

math.NA2024

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws

Tarik Dzanic, Ketan Mittal, Dohyun Kim +4

We introduce DynAMO, a reinforcement learning paradigm for Dynamic Anticipatory Mesh Optimization. Adaptive mesh refinement is an effective tool for optimizing computational cost a…