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Penalty and Barrier Methods for Convex Semidefinite Programming

Auslender, Alfred; Héctor C. - In: Computational Statistics 63 (2006) 2, pp. 195-219

In this paper we present penalty and barrier methods for solving general convex semidefinite programming problems. More precisely, the constraint set is described by a convex operator that takes its values in the cone of negative semidefinite symmetric matrices. This class of methods is an...

Persistent link: https://www.econbiz.de/10010847728

Penalty and Barrier Methods for Convex Semidefinite Programming

Auslender, Alfred; Héctor C. - In: Mathematical Methods of Operations Research 63 (2006) 2, pp. 195-219

Persistent link: https://www.econbiz.de/10010950142

Penalty and Smoothing Methods for Convex Semi-Infinite Programming

Auslender, Alfred; Goberna, Miguel A.; López, Marco A. - In: Mathematics of operations research 34 (2009) 2, pp. 303-319

Persistent link: https://www.econbiz.de/10008255210

Interior Proximal and Multiplier Methods Based on Second Order Homogeneous Kernels

Auslender, Alfred; Teboulle, Marc; Ben-Tiba, Sami - In: Mathematics of operations research 24 (1999) 3, pp. 645-668

Persistent link: https://www.econbiz.de/10006419500

Noncoercive Optimization Problems

Auslender, Alfred - In: Mathematics of operations research 21 (1996) 4, pp. 769-782

Persistent link: https://www.econbiz.de/10006420454

Penalty and Barrier Methods for Convex Semidefinite Programming

Auslender, Alfred; Ramirez, Hector C. - In: Mathematical methods of operations research 63 (2006) 2, pp. 195-220

Persistent link: https://www.econbiz.de/10007258569

Convex analysis and its applications : proceedings of a conference held at Muret-le-Quaire, March 1976

Auslender, Alfred (contributor) - 1977

Persistent link: https://www.econbiz.de/10009585282