Report
Douglas--Rachford is the best projection method
العنوان: | Douglas--Rachford is the best projection method |
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المؤلفون: | Dao, Minh N., Dressler, Mareike, Liao, Hongzhi, Roshchina, Vera |
سنة النشر: | 2023 |
المجموعة: | Mathematics |
مصطلحات موضوعية: | Mathematics - Optimization and Control |
الوصف: | We prove that the Douglas--Rachford method applied to two closed convex cones in the Euclidean plane converges in finitely many steps if and only if the set of fixed points of the Douglas--Rachford operator is nontrivial. We analyze this special case using circle dynamics. We also construct explicit examples for a broad family of projection methods for which the set of fixed points of the relevant projection method operator is nontrivial, but the convergence is not finite. This three-parametric family is well known in the projection method literature and includes both the Douglas--Rachford method and the classic method of alternating projections. Even though our setting is fairly elementary, this work contributes in a new way to the body of theoretical research justifying the superior performance of the Douglas--Rachford method compared to other techniques. Moreover, our result leads to a neat sufficient condition for finite convergence of the Douglas--Rachford method in the locally polyhedral case on the plane, unifying and expanding several special cases available in the literature. Comment: 18 pages, 7 figures |
نوع الوثيقة: | Working Paper |
URL الوصول: | http://arxiv.org/abs/2310.17077 |
رقم الانضمام: | edsarx.2310.17077 |
قاعدة البيانات: | arXiv |
الوصف غير متاح. |