SS-POD augments standard POD-Galerkin with a spectral-subspace partition and local POD to achieve lower out-of-sample error than either plain POD or pure spectral-Galerkin when only a handful of snapshots are available.
ESAIM: M2AN 46(3), 595–603 (2012)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
math.NA 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Establishes well-posed boundary integral formulation for Dirichlet Laplace problem on multi-arcs, analyzes singularities numerically, and shows hypersingular operator issues for Neumann case.
citing papers explorer
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A spectral-subspace-augmented POD-Galerkin method for parametrized PDEs with limited snapshot data
SS-POD augments standard POD-Galerkin with a spectral-subspace partition and local POD to achieve lower out-of-sample error than either plain POD or pure spectral-Galerkin when only a handful of snapshots are available.
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Integral Formulations for two-dimensional Multi-Arcs
Establishes well-posed boundary integral formulation for Dirichlet Laplace problem on multi-arcs, analyzes singularities numerically, and shows hypersingular operator issues for Neumann case.