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Herausgeber: 
  • Andreas Brandstädt
  • Krishnaiyan "KT" Thulasiraman
  • Nishizeki Takao
  • Arumugam Subramanian
  • Handbook of Graph Theory, Combinatorial Optimization, and Algorithms 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 4 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2015  
    Genre:  Schulbücher 
     
    advanced graph algorithms for research / algebraic methods / Algorithms & data structures / algorithms and data structures / Combinatorics & graph theory / Combinatorics and graph theory / computer science / COMPUTERS / Operating Systems / General
    ISBN:  9781584885955 
    EAN-Code: 
    9781584885955 
    Verlag:  Taylor and Francis 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Chapman & Hall/CRC Computer and Information Science Series  
    Dimensionen:  H 279 mm / B 216 mm / D 64 mm 
    Gewicht:  3140 gr 
    Seiten:  1226 
    Illustration:  schwarz-weiss Illustrationen, Tabellen, schwarz-weiss 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The fusion between graph theory and combinatorial optimization has led to theoretically profound and practically useful algorithms, yet there is no book that currently covers both areas together. Handbook of Graph Theory, Combinatorial Optimization, and Algorithms is the first to present a unified, comprehensive treatment of both graph theory and combinatorial optimization.

    Divided into 11 cohesive sections, the handbook's 44 chapters focus on graph theory, combinatorial optimization, and algorithmic issues. The book provides readers with the algorithmic and theoretical foundations to:

    • Understand phenomena as shaped by their graph structures
    • Develop needed algorithmic and optimization tools for the study of graph structures
    • Design and plan graph structures that lead to certain desirable behavior

    With contributions from more than 40 worldwide experts, this handbook equips readers with the necessary techniques and tools to solve problems in a variety of applications. Readers gain exposure to the theoretical and algorithmic foundations of a wide range of topics in graph theory and combinatorial optimization, enabling them to identify (and hence solve) problems encountered in diverse disciplines, such as electrical, communication, computer, social, transportation, biological, and other networks.

      



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