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Foundations of Location Analysis

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Cover of 'Foundations of Location Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Pioneering Developments in Location Analysis
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    Chapter 2 Uncapacitated and Capacitated Facility Location Problems
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    Chapter 3 Median Problems in Networks
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    Chapter 4 Continuous Center Problems
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    Chapter 5 Discrete Center Problems
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    Chapter 6 Covering Problems
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    Chapter 7 Equilibria in Competitive Location Models
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    Chapter 8 Sequential Location Models
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    Chapter 9 Conditional Location Problems on Networks and in the Plane
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    Chapter 10 The Location of Undesirable Facilities
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    Chapter 11 Stochastic Analysis in Location Research
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    Chapter 12 Hub Location Problems: The Location of Interacting Facilities
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    Chapter 13 Exact Solution of Two Location Problems via Branch-and-Bound
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    Chapter 14 Exploiting Structure: Location Problems on Trees and Treelike Graphs
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    Chapter 15 Heuristics for Location Models
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    Chapter 16 The Weiszfeld Algorithm: Proof, Amendments, and Extensions
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    Chapter 17 Lagrangean Relaxation-Based Techniques for Solving Facility Location Problems
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    Chapter 18 Gravity Modeling and its Impacts on Location Analysis
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    Chapter 19 Voronoi Diagrams and Their Uses
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    Chapter 20 Central Places: The Theories of von Thünen, Christaller, and Lösch
Attention for Chapter 8: Sequential Location Models
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Citations

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Chapter title
Sequential Location Models
Chapter number 8
Book title
Foundations of Location Analysis
Published by
Springer US, January 2011
DOI 10.1007/978-1-4419-7572-0_8
Book ISBNs
978-1-4419-7571-3, 978-1-4419-7572-0
Authors

Hassan Younies, H. A. Eiselt

Editors

H. A. Eiselt, Vladimir Marianov

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 40%
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Lecturer > Senior Lecturer 1 20%
Readers by discipline Count As %
Business, Management and Accounting 3 60%
Computer Science 1 20%
Social Sciences 1 20%