Line search for generalized alternating projections
(2017) 2017 American Control Conference, ACC 2017 p.4637-4642- Abstract
This paper is about line search for the generalized alternating projections (GAP) method. This method is a generalization of the von Neumann alternating projections method, where instead of alternating projections, relaxed projections are alternated. The method can be interpreted as an averaged iteration of a nonexpansive mapping. Therefore, a recently proposed line search method for such algorithms is applicable to GAP. We evaluate this line search and show situations when the line search can be performed with little additional cost. We also present a variation of the basic line search for GAP - The projected line search. We prove its convergence and show that the line search condition is convex in the step length parameter. We show... (More)
This paper is about line search for the generalized alternating projections (GAP) method. This method is a generalization of the von Neumann alternating projections method, where instead of alternating projections, relaxed projections are alternated. The method can be interpreted as an averaged iteration of a nonexpansive mapping. Therefore, a recently proposed line search method for such algorithms is applicable to GAP. We evaluate this line search and show situations when the line search can be performed with little additional cost. We also present a variation of the basic line search for GAP - The projected line search. We prove its convergence and show that the line search condition is convex in the step length parameter. We show that almost all convex optimization problems can be solved using this approach and numerical results show superior performance with both the standard and the projected line search, sometimes by several orders of magnitude, compared to the nominal method.
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- author
- Fält, Mattias LU and Giselsson, Pontus LU
- organization
- publishing date
- 2017-06-29
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2017 American Control Conference, ACC 2017
- article number
- 7963671
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2017 American Control Conference, ACC 2017
- conference location
- Seattle, United States
- conference dates
- 2017-05-24 - 2017-05-26
- external identifiers
-
- scopus:85027048836
- ISBN
- 9781509059928
- DOI
- 10.23919/ACC.2017.7963671
- language
- English
- LU publication?
- yes
- id
- 84b5e053-9b35-4fb8-a8ee-a73a0f09decd
- date added to LUP
- 2017-09-01 13:07:00
- date last changed
- 2023-11-17 04:01:07
@inproceedings{84b5e053-9b35-4fb8-a8ee-a73a0f09decd, abstract = {{<p>This paper is about line search for the generalized alternating projections (GAP) method. This method is a generalization of the von Neumann alternating projections method, where instead of alternating projections, relaxed projections are alternated. The method can be interpreted as an averaged iteration of a nonexpansive mapping. Therefore, a recently proposed line search method for such algorithms is applicable to GAP. We evaluate this line search and show situations when the line search can be performed with little additional cost. We also present a variation of the basic line search for GAP - The projected line search. We prove its convergence and show that the line search condition is convex in the step length parameter. We show that almost all convex optimization problems can be solved using this approach and numerical results show superior performance with both the standard and the projected line search, sometimes by several orders of magnitude, compared to the nominal method.</p>}}, author = {{Fält, Mattias and Giselsson, Pontus}}, booktitle = {{2017 American Control Conference, ACC 2017}}, isbn = {{9781509059928}}, language = {{eng}}, month = {{06}}, pages = {{4637--4642}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Line search for generalized alternating projections}}, url = {{http://dx.doi.org/10.23919/ACC.2017.7963671}}, doi = {{10.23919/ACC.2017.7963671}}, year = {{2017}}, }