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Handbook on Semidefinite, Conic and Polynomial Optimization
Springer 2011; US$ 219.99Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point methods for linear optimization were extended to solve... more...
Handbook on Modelling for Discrete Optimization
Springer-Verlag New York Inc 2006; US$ 169.99Aims to demonstrate and detail the pervasive nature of Discrete Optimization. This book utilizes the tools of mathematical modeling, optimization, and integer programming to solve a range of problems. It is intended for researchers in the domains of the Computer Science, Math Programming, Applied Mathematics, Engineering, and Operations Research. more...
Essays and Surveys in Global Optimization
Springer-Verlag New York Inc 2005; US$ 84.99Global optimization aims at solving the general problems of deterministic mathematical programming: to find the global optimum of a nonlinear, nonconvex, multivariate function of continuous and/or integer variables. This book examines its mathematical capability, power, and solutions to many fields in the applied sciences. more...
Graph Theory and Combinatorial Optimization
Springer-Verlag New York Inc 2005; US$ 84.99The techniques of graph theory have been used in solving many classical problems. This book explores the field's classical foundations and its developing theories, ideas and applications to new problems. It also examines the geometric properties of graph theory and its widening uses in combinatorial optimization theory and application. more...
Bonn Workshop on Combinatorial Optimization
Elsevier Science 2011; US$ 210.00Bonn Workshop on Combinatorial Optimization more...
Evolutionary Algorithms in Theory and Practice
Oxford University Press, USA 1996; US$ 225.00PART I: Comparison of Evolutionary Algorithms. 1. Organic Evolution and Problem Solving. 2. Specific Evolutionary Algorithms. 3. Artificial Landscapes. 4. An Empirical Comparison. PART II: Extending Genetic Algorithms. 5. Selection. 6. Mutation. 7. An Experiment in Meta-Evolution more...
Optimization for Industrial Problems
Springer 2012; US$ 79.99Industrial optimization lies on the crossroads between mathematics, computer science, engineering and management. This book presents these fields in interdependence as a conversation between theoretical aspects of mathematics and computer science and the mathematical field of optimization theory at a practical level. The 19 case studies that were conducted... more...
Nonlinear Optimization with Engineering Applications
Springer 2008; US$ 54.99This textbook examines a broad range of problems in science and engineering, describing key numerical methods applied to real life. The case studies presented are in such areas as data fitting, vehicle route planning and optimal control, scheduling and resource allocation, sensitivity calculations and worst-case analysis. Among the main topics covered:... more...
Nonlinear Optimization with Financial Applications
Springer 2005; US$ 114.00The book introduces the key ideas behind practical nonlinear optimization. Computational finance ? an increasingly popular area of mathematics degree programs ? is combined here with the study of an important class of numerical techniques. The financial content of the book is designed to be relevant and interesting to specialists. However, this material... more...
Reactive Search and Intelligent Optimization
Springer 2008; US$ 94.99Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive search self-tunes and adapts, effectively learning by doing until a solution is found. Intelligent Optimization, a superset of Reactive Search, concerns online... more...
