This text provides a basis for the analysis of optimization models and candidate optimal solutions, especially for continuous optimization models. The treatment focuses on the analysis and algebra that underlie the workings of convexity and duality and necessary/sufficient local/global optimality conditions for unconstrained and constrained optimization problems. Newly revised and expanded third edition.
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Michael Patriksson is Professor of Applied Mathematics at Chalmers University of Technology and Gothenburg University, Gothenburg, Sweden.
Anton Evgrafov is Professor of Mathematics at the Norwegian University of Science and Technology, Trondheim, Norway.
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