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Herausgeber: 
  • Panos M. Pardalos
  • William W. Hager
  • Shu-Jen Huang
  • Oleg A. Prokopyev
  • Multiscale Optimization Methods and Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2005  
    Genre:  Schulbücher 
     
    C / Computational Science and Engineering / Computer mathematics / Management & management techniques / Management science / Mathematical optimization / Mathematics and Statistics / Maths for scientists
    ISBN:  9780387295497 
    EAN-Code: 
    9780387295497 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #82 - Nonconvex Optimization and Its Applications  
    Dimensionen:  H 235 mm / B 155 mm / D 24 mm 
    Gewicht:  1710 gr 
    Seiten:  407 
    Illustration:  XVII, 407 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    As optimization researchers tackle larger and larger problems, scale interactions play an increasingly important role. One general strategy for dealing with a large or difficult problem is to partition it into smaller ones, which are hopefully much easier to solve, and then work backwards towards the solution of original problem, using a solution from a previous level as a starting guess at the next level. This volume contains 22 chapters highlighting some recent research. The topics of the chapters selected for this volume are focused on the development of new solution methodologies, including general multilevel solution techniques, for tackling difficult, large-scale optimization problems that arise in science and industry. Applications presented in the book include but are not limited to the circuit placement problem in VLSI design, a wireless sensor location problem, optimal dosages in the treatment of cancer by radiation therapy, and facility location.

    Audience:
    Multiscale Optimization Methods and Applications is intended for graduate students and researchers in optimization, computer science, and engineering.

      



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