Provably Physical-Constraint-Preserving Discontinuous Galerkin Methods for Multidimensional Relativistic MHD Equations
Sign Up to like & getrecommendations! Published in 2021 at "Numerische Mathematik"
DOI: 10.1007/s00211-021-01209-4
Abstract: We propose and analyze a class of robust, uniformly high-order accurate discontinuous Galerkin (DG) schemes for multidimensional relativistic magnetohydrodynamics (RMHD) on general meshes. A distinct feature of the schemes is their physical-constraint-preserving (PCP) property, i.e.,… read more here.
Keywords: physical constraint; multidimensional relativistic; discontinuous galerkin; constraint ... See more keywords
Nonlinearly preconditioned constraint-preserving algorithms for subsurface three-phase flow with capillarity
Sign Up to like & getrecommendations! Published in 2020 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2020.113140
Abstract: Abstract The multiphase flow model has been extensively used to describe complicated flow behaviors in subsurface formations, together with sophisticated reservoir models and well-defined fluid property. In this study, the fully implicit method, as one… read more here.
Keywords: multiphase flow; constraint preserving; preserving algorithms; flow ... See more keywords
Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm
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DOI: 10.3390/a15060202
Abstract: The quantum approximate optimization algorithm/quantum alternating operator ansatz (QAOA) is a heuristic to find approximate solutions of combinatorial optimization problems. Most of the literature is limited to quadratic problems without constraints. However, many practically relevant… read more here.
Keywords: optimization algorithm; constraint preserving; approximate optimization; optimization ... See more keywords