4 edition of **Discrete and fractional programming techniques for location models** found in the catalog.

- 163 Want to read
- 34 Currently reading

Published
**1998**
by Kluwer Academic Publishers in Dordrecht, Boston
.

Written in English

- Industrial location -- Mathematical models.,
- Programming (Mathematics)

**Edition Notes**

Includes bibliographical references (p. 159-170) and index.

Statement | by Ana Isabel Barros. |

Series | Combinatorial optimization ;, v. 3 |

Classifications | |
---|---|

LC Classifications | HD58 .B274 1998 |

The Physical Object | |

Pagination | xviii, 178 p. : |

Number of Pages | 178 |

ID Numbers | |

Open Library | OL352285M |

ISBN 10 | 0792350022 |

LC Control Number | 98011766 |

Gaston Mandata N’Guerekata Morgan State University Baltimore, MD, USA Ram U. Verma President of International Publications USA Series: Mathematics Research Developments BISAC: MAT StatWizards Discrete-Choice Models Page 1 of 1 What is discrete-choice modeling? Discrete-choice modeling (DCM), sometimes called qualitative choice modeling, is an exciting new statistical technique sweeping the world of market research. DCM looks at choices .

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:

Constraint Programming Branch And Bound Discrete Optimization Linear Programming (LP) Learner Career Outcomes. Career direction. started a new career after completing these courses. got a tangible career benefit from this course. Career promotion. got a pay increase or promotion. Start instantly and learn at your own schedule. Flexible deadlines/5(99). DASKIN • Network and Discrete Location: Modes, Algorithms and Applications DINITZ AND STINSON • Contemporary Design Theory: A Collection of Surveys DU AND KO • Theory of Computational Complexity ERICKSON • Introduction to Combinatorios GLOVER, KLINGHAM, AND PHILLIPS • Network Models in Optimization and Their Practical Problems.

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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.

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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.