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RINS: Residual-Image Neural Subspace Solvers for Large Sparse Linear Systems
Large sparse linear systems from PDE discretizations require correction subspaces whose operator images explain the current residual. We study this residual-image viewpoint and propose Gate-RINS, a neural subspace solver that generates polynomial correction bases from cached residual probes and modu
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