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This overview provides a single-volume treatment of key algorithms and theories. Begins with the derivation of optimality conditions and discussions of convex programming, duality, generalized convexity, and analysis of selected nonlinear programs, and then explores techniques for numerical solutions and unconstrained optimization methods. 1976 edition. Includes 58 figures and 7 tables.
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If you litigate or preside in any court in the state of New York, you know just how confounding the state's evidence law can be. New York Evidence Handbook is the new, comprehensive guide to all of the rules and principles of evidence applicable in New York courts. This new 1,000+ page handbook presents a practical, contemporary approach to evidence -- written with the real-world challenges of the New York trial lawyer and judge in mind. It gathers into one, easy-to-use handbook all of the rules, the leading decisions and the significant statutes you need to consider when assessing the admissibility of evidence. The book walks you through all the rules and their operation (as they relate to judicial notice, presumptions, relevance, the best evidence rule, etc.), discussing all of the leading authorities and citing numerous trial examples. Throughout New York Evidence Handbook, special attention is paid to helping you quickly solve commonly encountered, but difficult, evidence questions.
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Postoptimal Analyses, Parametric Programming, and Related Topics: Degeneracy, Multicriteria Decision Making Redundancy.
This monograph presents a comprehensive treatment of the maximum-entropy sampling problem (MESP), which is a fascinating topic at the intersection of mathematical optimization and data science. The text situates MESP in information theory, as the algorithmic problem of calculating a sub-vector of pre-specificed size from a multivariate Gaussian random vector, so as to maximize Shannon's differential entropy. The text collects and expands on state-of-the-art algorithms for MESP, and addresses its application in the field of environmental monitoring. While MESP is a central optimization problem in the theory of statistical designs (particularly in the area of spatial monitoring), this book lar...
The 17th European Symposium on Computed Aided Process Engineering contains papers presented at the 17th European Symposium of Computer Aided Process Engineering (ESCAPE 17) held in Bucharest, Romania, from 27-30 May 2007. The ESCAPE series serves as a forum for scientists and engineers from academia and industry to discuss progress achieved in the area of Computer Aided Process Engineering (CAPE). The main goal was to emphasize the continuity in research of innovative concepts and systematic design methods as well the diversity of applications emerged from the demands of sustainable development. ESCAPE 17 highlights the progresss software technology needed for implementing simulation based t...