David W. Jacobs, Daphna Weinshall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multigrid methods are analyzed in the style of standard iterative methods. A basic error bound is derived in terms of residuals on neighboring levels. The terms in this bound derive from the iterative methods used as smoothers on each level and the operators used to go from a level to the next coarser level. This bound is correct whether the underlying operator is symmetric or nonsymmetric, definite or indefinite, and singular or nonsingular. This paper allows any iterative method as a smoother (or rougher) in the multigrid cycle. While standard multigrid error analysis typically assumes a specific multigrid cycle (e.g., a V, W, or F cycle), analysis for arbitrary multigrid cycles, including adaptively chosen ones, is provided. This theory applies directly to aggregation-disaggregation methods used to solve systems of linear equations.
David W. Jacobs, Daphna Weinshall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
Moutaz Fakhry, Yuri Granik, et al.
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Ligang Lu, Jack L. Kouloheris
IS&T/SPIE Electronic Imaging 2002
Minghong Fang, Zifan Zhang, et al.
CCS 2024