Resolvent splitting with minimal lifting for composite monotone inclusions
Luis M. Brice\~no-Arias

TL;DR
This paper introduces a new resolvent splitting method with minimal lifting for solving composite monotone inclusions involving multiple operators and linear transformations, optimizing computational efficiency.
Contribution
It proposes a resolvent splitting with minimal lifting for composite monotone inclusions, extending previous work and providing new algorithms for cases with two operators.
Findings
Exact computation of resolvents, linear operators, and adjoints once per iteration
Recovery of previous minimal lifting splitting when the linear operator is identity
New minimal 1-fold lifting splitting for two-operator cases
Abstract
In this paper we propose a resolvent splitting with minimal lifting for finding a zero of the sum of maximally monotone operators involving the composition with a linear bounded operator. The resolvent of each monotone operator, the linear operator, and its adjoint are computed exactly once in the proposed algorithm. In the case when the linear operator is the identity, we recover the resolvent splitting with minimal lifting developed in Malitsky-Tam (2021). We also derive a new resolvent splitting for solving the composite monotone inclusion in the case with minimal fold lifting.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptimization and Variational Analysis · Matrix Theory and Algorithms · Numerical methods in inverse problems
