Deterministic Global Optimization

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Geometric branch-and-bound methods are explored in depth, focusing on their applications in Lipschitzian optimization, d.c. programming, and interval analysis. The book introduces a novel concept for measuring the rate of convergence and provides a thorough analysis of various bounding operations documented in existing literature, enhancing the understanding of these optimization techniques.