The Log---Quadratic Proximal Methodology in Convex Optimization Algorithms and Variational Inequalities

Alfred Auslender; Marc Teboulle

doi:10.1007/978-1-4613-0239-1_2

The Log---Quadratic Proximal Methodology in Convex Optimization Algorithms and Variational Inequalities

Alfred Auslender, Marc Teboulle

School of Mathematical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The logarithmic-quadratic proximal map recently introduced by the authors allows for deriving several efficient algorithms in convex optimization and variational inequalities. This brief survey outlines the power and usefulness of the resulting logarithmic-quadratic methodology.

Original language	Undefined/Unknown
Title of host publication	Equilibrium Problems and Variational Models
Editors	Patrizia Daniele, Franco Giannessi, Antonino Maugeri
Place of Publication	Boston, MA
Publisher	Springer US
Pages	19-52
Number of pages	34
ISBN (Print)	978-1-4613-0239-1
DOIs	https://doi.org/10.1007/978-1-4613-0239-1_2
State	Published - 2003

Access to Document

10.1007/978-1-4613-0239-1_2

https://doi.org/10.1007/978-1-4613-0239-1_2

Cite this

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The Log---Quadratic Proximal Methodology in Convex Optimization Algorithms and Variational Inequalities. / Auslender, Alfred; Teboulle, Marc.
Equilibrium Problems and Variational Models. ed. / Patrizia Daniele; Franco Giannessi; Antonino Maugeri. Boston, MA: Springer US, 2003. p. 19-52.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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