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- W4289436770 abstract "We focus on the convergence analysis of averaged relaxations of cutters, specifically for variants that---depending upon how parameters are chosen---resemble emph{alternating projections}, the emph{Douglas--Rachford method}, emph{relaxed reflect-reflect}, or the emph{Peaceman--Rachford} method. Such methods are frequently used to solve convex feasibility problems. The standard convergence analyses of projection algorithms are based on the emph{firm nonexpansivity} property of the relevant operators. However if the projections onto the constraint sets are replaced by cutters (projections onto separating hyperplanes), the firm nonexpansivity is lost. We provide a proof of convergence for a family of related averaged relaxed cutter methods under reasonable assumptions, relying on a simple geometric argument. This allows us to clarify fine details related to the allowable choice of the relaxation parameters, highlighting the distinction between the exact (firmly nonexpansive) and approximate (strongly quasi-nonexpansive) settings. We provide illustrative examples and discuss practical implementations of the method." @default.
- W4289436770 created "2022-08-02" @default.
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- W4289436770 date "2018-10-04" @default.
- W4289436770 modified "2023-10-01" @default.
- W4289436770 title "Comparing Averaged Relaxed Cutters and Projection Methods: Theory and Examples" @default.
- W4289436770 doi "https://doi.org/10.48550/arxiv.1810.02463" @default.
- W4289436770 hasPublicationYear "2018" @default.
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