Safeguarded Anderson acceleration for parametric nonexpansive operators
This paper describes the design of a safeguarding scheme for Anderson acceleration to improve its practical performance and stability when used for first-order optimisation methods. We show how the combination of a nonexpansiveness condition, conditioning constraints, and memory restarts integrate w...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
IEEE
2022
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