Foundations of Network Optimization and Games

This is a book about infrastructure networks that are intrinsically nonlinear. The networks considered range from vehicular networks to electric power networks to data networks. The main point of view taken is that of mathematical programming in concert with finite-dimensional variational inequality...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Friesz, Terry L. (Συγγραφέας), Bernstein, David (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US : Imprint: Springer, 2016.
Έκδοση:1st ed. 2016.
Σειρά:Complex Networks and Dynamic Systems, 3
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Friesz, Terry L.  |e author. 
245 1 0 |a Foundations of Network Optimization and Games  |h [electronic resource] /  |c by Terry L. Friesz, David Bernstein. 
250 |a 1st ed. 2016. 
264 1 |a Boston, MA :  |b Springer US :  |b Imprint: Springer,  |c 2016. 
300 |a XIII, 504 p. 63 illus., 6 illus. in color.  |b online resource. 
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490 1 |a Complex Networks and Dynamic Systems,  |x 2195-724X ;  |v 3 
505 0 |a Introduction -- Elements of Nonlinear Programming -- Elements of Graph Theory -- Programs with Network Structure -- Near-Network and Large-Scale Programs -- Normative Network Models and Their Solution -- Nash Games -- Network Traffic Assignment -- Spatial Price Equilibrium on Networks -- Network Stackelberg Games and Mathematical Programs with Equilibrium Constraints. 
520 |a This is a book about infrastructure networks that are intrinsically nonlinear. The networks considered range from vehicular networks to electric power networks to data networks. The main point of view taken is that of mathematical programming in concert with finite-dimensional variational inequality theory. The principle modeling perspectives are network optimization, the theory of Nash games, and mathematical programming with equilibrium constraints. Computational methods and novel mathematical formulations are emphasized. Among the numerical methods explored are network simplex, gradient projection, fixed-point, gap function, Lagrangian relaxation, Dantzig-Wolfe decomposition, simplicial decomposition, and computational intelligence algorithms. Many solved example problems are included that range from simple to quite challenging. Theoretical analyses of several models and algorithms, to uncover existence, uniqueness and convergence properties, are undertaken. The book is meant for use in advanced undergraduate as well as doctoral courses taught in civil engineering, industrial engineering, systems engineering, and operations research degree programs. At the same time, the book should be a useful resource for industrial and university researchers engaged in the mathematical modeling and numerical analyses of infrastructure networks. 
650 0 |a Business. 
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650 0 |a Decision making. 
650 0 |a Management science. 
650 1 4 |a Business and Management. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Operations Research, Management Science. 
700 1 |a Bernstein, David.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781489975935 
830 0 |a Complex Networks and Dynamic Systems,  |x 2195-724X ;  |v 3 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4899-7594-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-BUM 
950 |a Business and Management (Springer-41169)