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- Elsevier Science 1986; US$ 72.95
Optimization, as examined here, ranges from differential equations to problems arising in Mechanics and Statistics. The main topics covered are: calculations of variations and nonlinear elasticity, optimal control, analysis and optimization in problems dealing with nondifferentiable data, duality techniques, algorithms in mathematical programming and... more...
- Springer Berlin Heidelberg 2008; US$ 157.24
This book discusses the Kuhn-Tucker Optimality, Karush-Kuhn-Tucker Necessary and Sufficient Optimality Conditions in presence of various types of generalized convexity assumptions. It details the present state of knowledge on research done in this area. more...
- Springer Berlin Heidelberg 2008; US$ 100.94
The field of optimal transport has made breathtaking forays into various other domains of mathematics. This book presents a broad overview of this area. PhD students or researchers can read the entire book without any prior knowledge of the field. more...
- Springer Netherlands 2008; US$ 86.48
This book presents a modern introduction of pde constrained optimization. It provides a precise functional analytic treatment via optimality conditions and a state-of-the-art, non-smooth algorithmical framework. more...
- Springer US 2008; US$ 47.42
This book examines problems in science and engineering, describing key numerical methods applied to real life. It includes case studies in such areas as vehicle route planning and optimal control, scheduling and resource allocation, and worst-case analysis. more...
- Oxford University Press 1996; US$ 249.99 US$ 214.99
This book presents a unified view of evolutionary algorithms: the exciting new probabilistic search tools inspired by biological models that have immense potential as practical problem-solvers in a wide variety of settings, academic, commercial, and industrial. In this work, the author compares the three most prominent representatives of evolutionary... more...
- Princeton University Press 2009; US$ 85.00 US$ 68.00
Research on interior-point methods (IPMs) has dominated the field of mathematical programming for the last two decades. Two contrasting approaches in the analysis and implementation of IPMs are the so-called small-update and large-update methods, although, until now, there has been a notorious gap between the theory and practical performance of these... more...
- Wiley 2009; US$ 149.00 US$ 129.13
A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design... more...
- Princeton University Press 2009; US$ 97.50 US$ 78.00
Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements... more...