Duality for Nonconvex Approximation and Optimization eBook

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The theory of convex optimization has been developing constantly over the past 30 years. Recently, 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” optimization problems. This monograph contains an exhaustive presentation of the duality theory for these classes of problems and their generalizations.

This is a digital product.

Duality for Nonconvex Approximation and Optimization is written by Ivan Singer and published by Springer. The Digital and eTextbook ISBNs for Duality for Nonconvex Approximation and Optimization are 9780387283951, 0387283951 and the print ISBNs are 9780387283944, 0387283943.