math.NA · 2026-06-21 · No. 30
Numerical Analysis, 2026-06-21.
3 new papers in math.NA. Titles, authors,
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01 — The papers
3 entries-
01
CoarseSolvers for Exascale Solution of Poisson Problems
Thilina Ratnayaka, Paul Fischer, Luke Olson
math.NA · cs.DC · cs.MS
WepresentatwolevelSchwarzmethodasanalternativetoAlgebraicMultigridmethod(AMG) used as the last level (coarse) solver of the p-multigrid pMG preconditioner for pressure Poission equation resulting from Spectral/Finite element descretization of incompressible Navier-Stokes eqaution. Proposed Schwarz method consits of a local problem in the original pMG coarse space and a global coarse problem. Main contribution of the paper is a novel,...
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02
Structure-Oriented Randomized Neural Networks for Poisson-Nernst-Planck and Poisson-Nernst-Planck-Navier-Stokes Systems
Yunlong Li, Fei Wang
math.NA · cs.LG · physics.comp-ph
We develop a structure-oriented randomized neural network framework, termed SO-RaNN, for the Poisson-Nernst-Planck (PNP) system and the Poisson-Nernst-Planck-Navier-Stokes (PNP-NS) system. The decoupled linearized subproblems are solved iteratively by randomized neural networks in a space-time framework. For the concentration variables, a pointwise cut-off is used to enforce positivity at the value level, and discrete mass-scaling factors are...
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03
A fast direct solver based neural network for solving PDEs
Jashwanth Reddy Kadaru, Vaishnavi Gujjula
math.NA · cs.LG
The matrices arising from large scale $N$-body problems can be efficiently represented using hierarchical matrices, whose key idea is that the admissible off-diagonal sub-matrices can be well approximated by low-rank matrices across a hierarchy of matrix partitions. HODLR (Hierarchical Off-Diagonal Low-Rank) matrices are a subclass of hierarchical matrices in which all off-diagonal submatrices at every level of a recursive binary partition...
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