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Duality for Nonconvex Approximation and Optimization
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Duality for Nonconvex Approximation and Optimization

The theory of convex optimization has been constantly developing over the past 30 years. Most recently, many researchers have been studying more complicated classes of problems that still can be studied by means of convex analysis, so-called "anticonvex" and "convex-anticonvex" optimizaton problems. This manuscript contains an exhaustive presentation of the duality for these classes of problems and some of its generalization in the framework of abstract convexity. This manuscript will be of great interest for experts in this and related fields.
Författare
Ivan Singer
Upplaga
Softcover reprint of hardcover 1st ed. 2006
ISBN
9781441921031
Språk
Engelska
Vikt
310 gram
Utgivningsdatum
23.11.2010
Sidor
356