Global optimality conditions for discrete and nonconvex optimization - with applications to Lagrangian heuristics and column generation

Michael Patriksson; Torbjörn Larsson

Global optimality conditions for discrete and nonconvex optimization - with applications to Lagrangian heuristics and column generation
Journal article, 2006

Author

Michael Patriksson

University of Gothenburg

Chalmers, Mathematical Sciences

Other publications Research

Torbjörn Larsson

Linköping University

Operations Research

Vol. 54 3 436--453-

Nonsmooth convex optimization—theory and solution methodology

Naturvetenskapliga Forskningsrådet, 1998-07-01 -- 2022-12-31.

Chalmers, 1998-07-01 -- 2020-12-31.

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Global optimality conditions for discrete and nonconvex optimization - with applications to Lagrangian heuristics and column generation Journal article, 2006