4 edition of Discrete and fractional programming techniques for location models found in the catalog.
Includes bibliographical references (p. 159-170) and index.
|Statement||by Ana Isabel Barros.|
|Series||Combinatorial optimization ;, v. 3|
|LC Classifications||HD58 .B274 1998|
|The Physical Object|
|Pagination||xviii, 178 p. :|
|Number of Pages||178|
|LC Control Number||98011766|
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This site provides information about and supplemental material for Thomas VanDrunen, Discrete Mathematics and Functional Programming August by Franklin, Beedle and Associates. (See Franklin Beedle's catalogue entry.. I have written a new version of Section on the Huffman encoding. Here is a PDF of the new section, and you can also get the revised SML code. 2. Types of models. Facility location models can be broadly classified as follows: 1. The shape or topography of the set of potential plants yields models in the plane, network location models, and discrete location or mixed-integer programming models, respectively. For each of the subclasses distances are calculated using some metric. by:
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At first sight discrete and fractional programming techniques appear to be two com pletely unrelated fields in operations research. We will show how techniques in both fields can be applied separately and in a combined form to particular models in location analysis.
Location analysis deals with. At first sight discrete and fractional programming techniques appear to be two com pletely unrelated fields in operations research. We will show how techniques in both fields can be applied separately and in a combined form to particular models in location analysis.
Get this from a library. Discrete and fractional programming techniques for location models. [Ana Isabel Barros] -- This book is a revised and updated version of the INFORMS award winner for 'best dissertation on Location Analysis of '. The book integrates two seemingly unrelated fields: location analysis and.
Abstract. Discrete location deals with deciding where to locate facilities within a finite set of sites, taking into account the needs of the clients to be served in such a way that a given criterion is optimized. In this description there are several vague points, like the existence or not of additional constraints on the facilities, the way clients demand is satisfied, and so : Ana Isabel Barros.
Integrating two seemingly unrelated fields - location analysis and Fractional programming - this book tackles several location models that require combined solution techniques and theoretical results from both fields. It is suitable for researchers in mathematics, operations research and management science interested in combinatorial optimization.
Fractional Programming (Sigma Series in Applied Mathematics) by Craven, B. and a great selection of related books, art and collectibles available now at In mathematical optimization, linear-fractional programming (LFP) is a generalization of linear programming (LP).
Whereas the objective function in a linear program is a linear function, the objective function in a linear-fractional program is a ratio of two linear functions.A linear program can be regarded as a special case of a linear-fractional program in which the denominator is the.
Network and Discrete Location: Models, Algorithms, and Applications, Second Edition is an essential resource for practitioners in applied and discrete mathematics, operations research, industrial engineering, and quantitative geography.
The book is also a useful textbook for upper-level undergraduate, graduate, and MBA by: Novel numerical approximations of solutions of fractional systems are also investigated. In fact, the search for discrete techniques which are faster and stable, that possess higher orders of convergence at lower computational costs, and that preserve the main features of the solutions of interest has been a constant pursuit in numerical : Jorge E.
Macías-Díaz, Qin Sheng, Stefania Tomasiello. Global parametric sufficient optimality conditions for discrete minmax fractional programming problems containing generalized (θ, η, ρ)-V-invex functions and arbitrary norms. Single-Ratio Fractional Integer Programs with Stochastic Right-Hand Sides Discrete and Fractional Programming Techniques for Location Models Discrete and Fractional Programming Techniques.
3 Discrete Network Location Models John Current 1, Mark Daskin2, and David Schilling 1 Department of Management Sciences, Fisher College of Business, The Ohio State University, Neil Avenue, Columbus, Ohio e-mail: [email protected]; [email protected] Size: KB.
Network and Discrete Location: Models, Algorithms, and Applications by Mark S. Daskin and a great selection of related books, Poor. This is an ex-library book and may have the usual library/used-book markings book has hardback covers.
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At first sight discrete and fractional programming techniques appear to be two com pletely unrelated fields in operations research. We will show how techniques in both fields can be applied separately and in a combined form to particular models in Pages: Fractional Programming: Theory, Methods and Applications - Ebook written by I.M.
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In recent decades, fractional calculus has found a large number of profound applications, which have triggered the development of both the theory and methods for more reliable discretization and approximations of the dynamics of continuous systems.
Fractional. The quadratic assignment problem (QAP) was introduced in by Koopmans and Beckmann to model a plant location problem. Since then the QAP has been object of numerous investigations by mathematicians, computers scientists, ope- tions researchers and : Eranda Cela.
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The algorithm presented is based on a theorem by Jagannathan (Jagannathan, R. On some properties of programming problems in parametric form pertaining to fractional programming. Management Sci –) concerning the relationship between fractional and parametric programming. This theorem is restated and proved in a somewhat simpler Cited by:.
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Discrete and Fractional Programming Techniques for Location Models. Ana Isabel Barros. 01 Jun.