Stochastic linear programming von kall (48 Ergebnisse)

gebundene Ausgabe. Zustand: Gut. 95 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 280.…

gebundene Ausgabe. Zustand: Gut. 95 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 295. …

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Hardback or Cased Book. Zustand: New. Stochastic Linear Programming: Models, Theory, and Computation. Book.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC's and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup.To facilitate use as a text, exercises are included throughout the book, and web access is provided to a student version of the authors' SLP-IOR software. Additionally, the authors have updated the Guide to Available Software, and they have included newer algorithms and modeling systems for SLP. The book is thus suitable as a text for advanced courses in stochastic optimization, and as a reference to the field.From Reviews of the First Edition:'The book presents a comprehensive study of stochastic linear optimization problems and their applications. . The presentation includes geometric interpretation, linear programming duality, and the simplex method in its primal and dual forms. . The authors have made an effort to collect . the most useful recent ideas and algorithms in this area. . A guide to the existing software is included as well.' (Darinka Dentcheva, Mathematical Reviews, Issue 2006 c)'This is a graduate text in optimisation whose main emphasis is in stochastic programming. The book is clearly written. . This is a good book for providing mathematicians, economists and engineers with an almost complete start up information for working in the field. I heartily welcome its publication. . It is evident that this book will constitute an obligatory reference source for the specialists of the field.' (Carlos Narciso Bouza Herrera, Zentralblatt MATH, Vol. 1104 (6), 2007).…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Todaymanyeconomists, engineers and mathematicians are familiar with linear programming and are able to apply it. This is owing to the following facts: during the last 25 years efficient methods have been developed; at the same time sufficient computer capacity became available; finally, in many different fields, linear programs have turned out to be appropriate models for solving practical problems. However, to apply the theory and the methods of linear programming, it is required that the data determining a linear program be fixed known numbers. This condition is not fulfilled in many practical situations, e. g. when the data are demands, technological coefficients, available capacities, cost rates and so on. It may happen that such data are random variables. In this case, it seems to be common practice to replace these random variables by their mean values and solve the resulting linear program. By 1960 various authors had already recog nized that this approach is unsound: between 1955 and 1960 there were such papers as 'Linear Programming under Uncertainty', 'Stochastic Linear Pro gramming with Applications to Agricultural Economics', 'Chance Constrained Programming', 'Inequalities for Stochastic Linear Programming Problems' and 'An Approach to Linear Programming under Uncertainty'.…

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Taschenbuch. Zustand: Neu. Stochastic Linear Programming | Models, Theory, and Computation | Peter Kall (u. a.) | Taschenbuch | International Series in Operations Research & Management Science | xx | Englisch | 2012 | Springer | EAN 9781461427452 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Dura. Zustand: New. Zustand des Schutzumschlags: Nuevo. 0. Peter Kall and János Mayer are distinguished scholars and professors of Operations Research and their research interest is particularly devoted to the area of stochastic optimization. STOCHASTIC LINEAR PROGRAMMING: Models, Theory, and Computation is a definitive presentation and discussion of the theoretical properties of the models, the conceptual algorithmic approaches, and the computational issues relating to the implementation of these methods to solve problems that are stochastic in nature. The application area of stochastic programming includes portfolio analysis, financial optimization, energy problems, random yields in manufacturing, risk analysis, etc. In this book models in financial optimization and risk analysis are discussed as examples, including solution methods and their implementation. Stochastic programming is a fast developing area of optimization and mathematical programming. Numerous papers and conference volumes, and several monographs have been published in the area; however, the Kall & Mayer book will be particularly useful in presenting solution methods including their solid theoretical basis and their computational issues, based in many cases on implementations by the authors. The book is also suitable for advanced courses in stochastic optimization. 800 gr. No Aplica (illustrator). Libro.…

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