SpUDD defines superpower contours from power diagrams of unsigned distance samples, proves convergence to the true surface, and uses them to generate approximating polygonal meshes that outperform prior strategies.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Introduces overhauled level set construction, root-finding procedures, and regularized objective to compute Dirichlet eigenvalue minimizers that match or exceed prior best known results.
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A New Level Set Formulation for Improved Dirichlet Eigenvalue Minimizers
Introduces overhauled level set construction, root-finding procedures, and regularized objective to compute Dirichlet eigenvalue minimizers that match or exceed prior best known results.