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Linear Programming

Most popular at the top

  • Digital Signal Processing Using MATLAB & Waveletsby M Weeks

    Infinity Science Press 2006; US$ 69.95

    Although DSP has long been considered an EE topic, recent developments have also generated significant interest from the computer science community. DSP applications in the consumer market, such as bioinformatics, the MP3 audio format, and MPEG-based cable/satellite television have fueled a desire to understand this technology outside of hardware circles.... more...

  • Stochastic Control in Insuranceby Hanspeter Schmidli

    Springer London 2007; US$ 119.00

    Until now, solved examples of the application of stochastic control to actuarial problems could only be found in journals. Not any more: this is the first book to systematically present these methods in one volume. more...

  • Stochastic Global Optimizationby Anatoly Zhigljavsky; Antanas ?ilinskas

    Springer US 2007; US$ 129.00

    This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; some of the topics include an introduction to global random search, statistical inference, several associated random search algorithms, and various approaches to statistical models. more...

  • Linear Programming and its Applicationsby H.A. Eiselt; C.-L. Sandblom

    Springer Berlin Heidelberg 2007; US$ 199.00

    Based on earlier work by a variety of authors in the 1930s and 1940s, the simplex method for solving linear programming problems was developed in 1947 by the American mathematician George B. Dantzig. Helped by the computer revolution, it has been described by some as the overwhelmingly most significant mathematical development of the last century.... more...

  • Foundations of Generic Optimizationby R. Lowen; A. Verschoren

    Springer Netherlands 2007; US$ 119.00

    This is a comprehensive overview of the basics of fuzzy control, which also brings together some recent research results in soft computing, in particular fuzzy logic using genetic algorithms and neural networks. This book offers researchers not only a solid background but also a snapshot of the current state of the art in this field. more...

  • Markov Decision Processes with Their Applicationsby Qiying Hu; Wuyi Yue

    Springer US 2007; US$ 169.00

    Markov Decision Processes With Their Applications examines MDPs and their applications in the optimal control of discrete event systems (DESs), optimal replacement, and optimal allocations in sequential online auctions. This book is intended for researchers, mathematicians, advanced graduate students, and engineers who are interested in optimal... more...

  • Optimisation et contrôle stochastique appliqués à la financeby Huyên Pham

    Springer Berlin Heidelberg 2007; US$ 39.95

    L'objectif et l'originalité de ce livre est de présenter les différents aspects et méthodes utilisés dans la résolution des problèmes d'optimisation stochastique avec en vue des applications plus spécifiques à la finance: gestion de portefeuille, couverture d'options, investissement optimal.  Nous avons inclus certains développements récents sur... more...

  • Optimisation, Econometric and Financial Analysisby Erricos Kontoghiorghes

    Springer Berlin Heidelberg 2007; US$ 179.00

    Advanced computational methods are often employed for the solution of modelling and decision-making problems. This book addresses issues associated with the interface of computing, optimisation, econometrics and financial modelling. Emphasis is given to computational optimisation methods and techniques. The first part of the book addresses optimisation... more...

  • Optimization in Public Transportationby Anita Schöbel

    Springer US 2007; US$ 139.00

    Customer-Oriented Optimization in Public Transportation develops models, results and algorithms for optimizing public transportation from a customer-oriented point of view. The methods used are based on graph-theoretic approaches and integer programming. The specific topics are all motivated by real-world examples which occurred in practical projects.... more...

  • Stochastic Optimization Methodsby Kurt Marti

    Springer Berlin Heidelberg 2008; US$ 159.00

    Optimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insenistive with respect to random parameter variations, appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data, and using decision theoretical... more...