000 03695nam a22005415i 4500
001 978-0-8176-8322-1
003 DE-He213
005 20140220083228.0
007 cr nn 008mamaa
008 120427s2012 xxu| s |||| 0|eng d
020 _a9780817683221
_9978-0-8176-8322-1
024 7 _a10.1007/978-0-8176-8322-1
_2doi
050 4 _aHB144
050 4 _aQA269-272
072 7 _aPBUD
_2bicssc
072 7 _aMAT011000
_2bisacsh
072 7 _aBUS069030
_2bisacsh
082 0 4 _a519
_223
100 1 _aPavel, Lacra.
_eauthor.
245 1 0 _aGame Theory for Control of Optical Networks
_h[electronic resource] /
_cby Lacra Pavel.
264 1 _aBoston :
_bBirkhäuser Boston,
_c2012.
300 _aXIII, 261p. 92 illus., 70 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStatic & Dynamic Game Theory: Foundations & Applications
505 0 _aPreface -- 1 Introduction -- Part I Game Theory Essentials -- 2 Basics of Game Theory -- 3 Matrix Games -- 4 Games with Continuous Action Spaces -- 5 Computational Results for Games with Coupled Constraints -- Part II Game Theory in Optical Networks.- 6 Optical Networks: Background and Modeling.- 7 Games in Point-to-Point Topologies.- 8 Games in Network Toplogies.- 9 Nash Equilibria Efficiency and Numerical Studies -- 10 Simulations and Experimental Studies -- Part III Robustness, Delay Effects, and Other Problems.- 11 Robustness and Delay Effects onNetwork Games.- 12 Games for Routing and Path Coloring -- 13 Summary and Conclusions. A Supplementary Material -- B List of Notations -- References -- Index.
520 _aOptical networks epitomize complex communication systems, and they comprise the Internet’s infrastructural backbone. The first of its kind, this book develops the mathematical framework needed from a control perspective to tackle various game-theoretical problems in optical networks. In doing so, it aims to help design control algorithms that optimally allocate the resources of these networks. The book’s main focus is a control-theoretic analysis of dynamic systems arising from game formulations with non-separable player utilities and with coupled as well as propagated (modified) constraints. Compared with the conventional static optimization approach, this provides a more realistic model of how optical networks operate. Its methods and techniques could be used to improve networks’ functionality and adaptivity, potentially enhancing the speed and reliability of communications throughout the world. With its fresh problem-solving approach, Game Theory for Control of Optical Networks is a unique resource for researchers, practitioners, and graduate students in applied mathematics and systems/control engineering, as well as those in electrical and computer engineering.
650 0 _aMathematics.
650 0 _aSystems theory.
650 0 _aAlgorithms.
650 0 _aMathematical optimization.
650 0 _aTelecommunication.
650 1 4 _aMathematics.
650 2 4 _aGame Theory, Economics, Social and Behav. Sciences.
650 2 4 _aCommunications Engineering, Networks.
650 2 4 _aSystems Theory, Control.
650 2 4 _aOptimization.
650 2 4 _aAlgorithms.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780817683214
830 0 _aStatic & Dynamic Game Theory: Foundations & Applications
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-8176-8322-1
912 _aZDB-2-SMA
999 _c100244
_d100244