DFPI is a unified framework for deflated fixed-point iterations that organizes RPM, Anderson acceleration, BoostConv and Krylov methods like GMRES under projection operators and trouble-vector recruitment, with a convergence result tied to projection-space invariance.
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DFPI, A unified framework for deflated linear solvers: bridging the gap between Krylov subspace methods and Fixed-Point Iterations
DFPI is a unified framework for deflated fixed-point iterations that organizes RPM, Anderson acceleration, BoostConv and Krylov methods like GMRES under projection operators and trouble-vector recruitment, with a convergence result tied to projection-space invariance.