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000752042 019__ $$a922922107$$a932332880
000752042 020__ $$a9781489975942$$q(electronic book)
000752042 020__ $$a1489975942$$q(electronic book)
000752042 020__ $$z9781489975935
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000752042 050_4 $$aHB74.2
000752042 08204 $$a303.5$$223
000752042 1001_ $$aFriesz, Terry L.,$$d1949-$$eauthor.
000752042 24510 $$aFoundations of network optimization and games$$h[electronic resource] /$$cTerry L. Friesz, David Bernstein.
000752042 264_1 $$aNew York :$$bSpringer,$$c[2016]
000752042 300__ $$a1 online resource (xiii, 504 pages)
000752042 336__ $$atext$$btxt$$2rdacontent
000752042 337__ $$acomputer$$bc$$2rdamedia
000752042 338__ $$aonline resource$$bcr$$2rdacarrier
000752042 4901_ $$aComplex networks and dynamic systems ;$$vvolume 3
000752042 504__ $$aIncludes bibliographical references and index.
000752042 5050_ $$aIntroduction -- Elements of Nonlinear Programming -- Elements of Graph Theory -- Programs with Network Structure -- Near-Network and Large-Scale Programs -- Normative Network Models and Their Solution -- Nash Games -- Network Traffic Assignment -- Spatial Price Equilibrium on Networks -- Network Stackelberg Games and Mathematical Programs with Equilibrium Constraints.
000752042 506__ $$aAccess limited to authorized users.
000752042 520__ $$aThis is a book about infrastructure networks that are intrinsically nonlinear. The networks considered range from vehicular networks to electric power networks to data networks. The main point of view taken is that of mathematical programming in concert with finite-dimensional variational inequality theory. The principle modeling perspectives are network optimization, the theory of Nash games, and mathematical programming with equilibrium constraints. Computational methods and novel mathematical formulations are emphasized. Among the numerical methods explored are network simplex, gradient projection, fixed-point, gap function, Lagrangian relaxation, Dantzig-Wolfe decomposition, simplicial decomposition, and computational intelligence algorithms. Many solved example problems are included that range from simple to quite challenging. Theoretical analyses of several models and algorithms, to uncover existence, uniqueness and convergence properties, are undertaken. The book is meant for use in advanced undergraduate as well as doctoral courses taught in civil engineering, industrial engineering, systems engineering, and operations research degree programs. At the same time, the book should be a useful resource for industrial and university researchers engaged in the mathematical modeling and numerical analyses of infrastructure networks.
000752042 650_0 $$aInfrastructure (Economics)
000752042 650_0 $$aInfrastructure (Economics)$$xMathematical models.
000752042 650_0 $$aInformation networks.
000752042 650_0 $$aInformation networks$$xMathematical models.
000752042 7001_ $$aBernstein, David,$$eauthor.
000752042 77608 $$iPrint version:$$z1489975934$$z9781489975935$$w(OCoLC)903283889
000752042 830_0 $$aComplex networks and dynamic systems ;$$vv. 3.
000752042 852__ $$bebk
000752042 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4899-7594-2$$zOnline Access$$91397441.1
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000752042 980__ $$aEBOOK
000752042 980__ $$aBIB
000752042 982__ $$aEbook
000752042 983__ $$aOnline
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