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D. C. optimization: Theory, methods and algorithms. (English) Zbl 0832.90111
Horst, Reiner et al., Handbook of global optimization. Dordrecht: Kluwer Academic Publishers. Nonconvex Optim. Appl. 2, 149-216 (1995).
Summary: Optimization problems involving d.c. functions (differences of convex functions) and d.c. sets (differences of convex sets) occur quite frequently in operations research, economics, engineering design and other fields. We present a review of the theory, methods and algorithms for this class of global optimization problems which have been elaborated in recent years.
For the entire collection see [Zbl 0805.00009].

MSC:
90C30 Nonlinear programming
90C25 Convex programming
90-02 Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming
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