Global optimization using analysis

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Employing a closed set-theoretic foundation for interval computations, Global Optimization Using Interval Analysis simplifies algorithm construction and increases the generality of interval arithmetic. It contains an up-to-date discussion of interval methods for solving systems of nonlinear equations and global optimization problems. It features significant new discussions, such as those on the use of consistency methods to enhance algorithm performance. Provided algorithms are guaranteed to find and bound all solutions to these problems despite bounded errors in data, in approximations, and from the use of rounded arithmetic.