Part I: Convex Analysis. 1. Convex Sets. 2. Convex Functions. 3. D.C. Functions and D.C. Sets. Part II: Global Optimization. 4. Motivation and Overview. 5. Successive Partitioning Methods. 6. Outer and Inner Approximation. 7. Decomposition. 8. Nonconvex Quadratic Programming. References. Index.
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