- Title
- Linear convergence of projection algorithms
- Creator
- Dao, Minh N.; Phan, Hung M.
- Relation
- Mathematics of Operations Research Vol. 44, Issue 2, p. 715-738
- Publisher Link
- http://dx.doi.org/10.1287/moor.2018.0942
- Publisher
- Institue for Operations Research and the Management Sciences (INFORMS)
- Resource Type
- journal article
- Date
- 2019
- Description
- Projection algorithms are well known for their simplicity and flexibility in solving feasibility problems. They are particularly important in practice owing to minimal requirements for software implementation and maintenance. In this work, we study linear convergence of several projection algorithms for systems of finitely many closed sets. The results complement contemporary research on the same topic.
- Subject
- cyclic projections; Douglas-Rachford algorithm; quasi coercivity; injectable set; linear convergence; linear regularity; reflection-projection algorithm; semi-intrepid projection; strong regularity; superregularity; quasi firm Fejer monotonicity
- Identifier
- http://hdl.handle.net/1959.13/1468964
- Identifier
- uon:48133
- Identifier
- ISSN:0364-765X
- Language
- eng
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