AI RESEARCH
NSPOD: acceleratingthe convergence ofKrylov-based iterative linearsolvers via approximated PODs
arXiv CS.LG
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ArXi:2605.07828v1 Announce Type: cross The convergence of Krylo-based linear iterative solvers applied to parametric partial differential equations (PDEs) is often highly sensitive to the domain, its discretization, the location/values of the applied Dirichlet/Neumann boundary conditions, body forces and material properties, among others. We have previously