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Global optimization aims at solving the most general problems of deterministic mathematical programming: to find the global optimum of a nonlinear, nonconvex, multivariate function of continuous and/or integer variables subject to constraints which may be themselves nonlinear and nonconvex. In addition, once the solutions are found, proof of its optimality is also expected from this methodology. Therefore, with these difficulties in mind, global optimization is becoming an increasingly powerful and important methodology. "Essays and Surveys in Global Optimization" is the most recent examination of its mathematical capability, power, and wide ranging solutions to many fields in the applied sciences.
Springer-Verlag New York Inc; December 2005
307 pages; ISBN 9780387255705
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307 pages; ISBN 9780387255705
Read online, or download in secure PDF format
