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Mathematical optimization

Most popular at the top

  • Discrete Optimizationby R. Gary Parker; Ronald L. Rardin

    Elsevier Science 2014; US$ 165.00

    This book treats the fundamental issues and algorithmic strategies emerging as the core of the discipline of discrete optimization in a comprehensive and rigorous fashion. Following an introductory chapter on computational complexity, the basic algorithmic results for the two major models of polynomial algorithms are introduced--models using matroids... more...

  • Constrained Optimization and Lagrange Multiplier Methodsby Dimitri P. Bertsekas; Werner Rheinboldt

    Elsevier Science 2014; US$ 72.95

    Computer Science and Applied Mathematics: Constrained Optimization and Lagrange Multiplier Methods focuses on the advancements in the applications of the Lagrange multiplier methods for constrained minimization. The publication first offers information on the method of multipliers for equality constrained problems and the method of multipliers for... more...

  • Numerical Methods of Mathematical Optimizationby Hans P. Künzi; H. G. Tzschach; C. A. Zehnder; Werner Rheinboldt

    Elsevier Science 2014; US$ 72.95

    Numerical Methods of Mathematical Optimization: With ALGOL and FORTRAN Programs reviews the theory and the practical application of the numerical methods of mathematical optimization. An ALGOL and a FORTRAN program was developed for each one of the algorithms described in the theoretical section. This should result in easy access to the application... more...

  • MATLAB Optimization Techniquesby Cesar Lopez

    Apress 2014; US$ 49.99

    MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional... more...

  • Practical Genetic Algorithmsby Randy L. Haupt; Sue Ellen Haupt

    Wiley 2004; US$ 134.00 US$ 116.13

    * This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition more...

  • Nonsmooth Equations in Optimizationby Diethard Klatte; B. Kummer

    Springer US 2006; US$ 239.00

    Many questions dealing with solvability, stability and solution methods for va- ational inequalities or equilibrium, optimization and complementarity problems lead to the analysis of certain (perturbed) equations. This often requires a - formulation of the initial model being under consideration. Due to the specific of the original problem, the resulting... more...

  • Global Optimization Using Interval Analysisby Eldon Hansen; G. William Walster

    CRC Press 2003; US$ 265.00

    Employing a closed set-theoretic foundation for interval computations, Global Optimization Using Interval Analysis simplifies algorithm construction and increases generality of interval arithmetic. This Second Edition contains an up-to-date discussion of interval methods for solving systems of nonlinear equations and global optimization problems. It... more...

  • An Introduction to Optimizationby Edwin K. P. Chong; Stanislaw H. Zak

    Wiley 2004; US$ 149.00 US$ 129.13

    A modern, up-to-date introduction to optimization theory and methods This authoritative book serves as an introductory text to optimization at the senior undergraduate and beginning graduate levels. With consistently accessible and elementary treatment of all topics, An Introduction to Optimization, Second Edition helps students build a solid working... more...

  • Statistical Modeling and Analysis for Complex Data Problemsby Pierre Duchesne; Bruno Rémillard

    Springer US 2005; US$ 139.00

    Statistical Modeling and Analysis for Complex Data Problems treats some of today?s more complex problems and it reflects some of the important research directions in the field. Twenty-nine authors ? largely from Montreal?s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory,... more...

  • Applications Of Multi-objective Evolutionary Algorithmsby Carlos A. Coello; Gary B. Lamont

    World Scientific Publishing Company 2005; US$ 218.00

    This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications.... more...