Establishes L^p- and W^{1,p}-stability of the L2-projection on hybrid meshes for all K >= 2 in Q-RG and Q-RB refinements, extending prior results limited to parallelograms and K <= 9.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
fields
math.NA 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Dmsh is a new multi-agent RL framework that formulates mesh generation as an MDP and uses three coordinated agents plus curriculum learning to produce globally conforming all-quad meshes without post-processing.
citing papers explorer
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Sobolev stability of the $L^2$-projection on hybrid meshes
Establishes L^p- and W^{1,p}-stability of the L2-projection on hybrid meshes for all K >= 2 in Q-RG and Q-RB refinements, extending prior results limited to parallelograms and K <= 9.
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Dmsh: A Multi-Agent Reinforcement Learning Framework for All-Quad Mesh Generation
Dmsh is a new multi-agent RL framework that formulates mesh generation as an MDP and uses three coordinated agents plus curriculum learning to produce globally conforming all-quad meshes without post-processing.