Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin Heidelberg :
    UID:
    almahu_9947921562002882
    Format: 204 p. , online resource.
    ISBN: 9783540475002
    Series Statement: Lecture Notes in Mathematics, 1531
    Content: The problem of designing a cost-efficient network that survives the failure of one or more nodes or edges of the network is critical to modern telecommunications engineering. The method developed in this book is designed to solve such problems to optimality. In particular, a cutting plane approach is described, based on polyhedral combinatorics, that is ableto solve real-world problems of this type in short computation time. These results are of interest for practitioners in the area of communication network design. The book is addressed especially to the combinatorial optimization community, but also to those who want to learn polyhedral methods. In addition, interesting new research problemsare formulated.
    Note: Motivation -- Network survivability models using node types -- Survivable network design under connectivity constraints — a survey -- Decomposition -- Basic inequalities -- Lifting theorems -- Partition inequalities -- Node partition inequalities -- Lifted r-cover inequalities -- Comb inequalities -- How to find valid inequalities -- Implementation of the cutting plane algorithm -- Computational results.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540562719
    Language: English
    Subjects: Mathematics
    RVK:
    RVK:
    Keywords: Hochschulschrift
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages