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    Network Optimization: An Introduction to the Network Reconstruction Approach: Network Reconstruction Approach to optimization

    Network Optimization: An Introduction to the Network Reconstruction Approach by Munapo, Elias; Kumar, Santosh; Nyamugure, Philimon;

    Network Reconstruction Approach to optimization

    Series: River Publishers Series in Communications and Networking;

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      • Publisher's listprice GBP 99.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        50 604 Ft (48 195 Ft + 5% VAT)
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      • Discounted price 40 484 Ft (38 556 Ft + 5% VAT)

    50 604 Ft

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    Product details:

    • Edition number 1
    • Publisher River Publishers
    • Date of Publication 3 July 2025

    • ISBN 9788770047425
    • Binding Hardback
    • No. of pages236 pages
    • Size 234x156 mm
    • Language English
    • Illustrations 97 Illustrations, color; 3 Halftones, color; 94 Line drawings, color
    • 700

    Categories

    Short description:

    This book is an introduction to reconstruction concepts and its applications for solving some network optimization problems. The authors have developed many methods to find optimal solutions for these network related problems and they observed that various methods discussed within have a common thread of reconstruction which unites them.

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    Long description:

    For every problem, mathematical or otherwise, there is more than one approach and much depends on the ingenuity of the person concerned. Consider that a person is interested in picking some fruit from a tree and is considering multiple picking options. One possibility is, if one can reach the fruit, just snip it to retrieve it. The second possibility is to alternatively apply force and detach the fruit from the tree. If neither option is possible, the fruit can still be detached from the tree, but how? A third possibility lies in the fact that just holding on to the fruit and turning it in one direction it can be picked. Similarly, many possibilities are seen by keen eyes while solving a mathematical problem. The reconstruction approach applied in this book is like the third possibility of holding a fruit and turning it in one direction until the desired solution is obtained.


    This book is an introduction to reconstruction concepts and their applications for solving some network optimization problems. Networks are a mathematical abstraction of a given physical situation, which are described by using nodes, links (directed or non-directed) and link weights defining some associated properties of that physical system. Reconstruction ideas exploit the mathematical structure of a particular problem and find ways to reach the required solution. It is hoped that these ideas will be explored for other mathematical structures.


    The authors have developed many methods to find optimal solutions for these network related problems and they observed that various methods discussed in 8 chapters have a common thread of reconstruction, which unites them, and that aspect motivated authors to develop this book.

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    Table of Contents:

    1. Network Reconstruction ? Unification of an Assignment and Transportation Models and Accelerating the Search Process 2. Reconstruction Approach for the Shortest and the K^th Shortest Routes in Networks 3. Network Reconstruction Approach to the Minimum Spanning Tree under the Index Restriction 4. Path through ?K? Specified Nodes or ?K? Specified Links in Networks: A Reconstruction Approach 5. Is Determination of the Travelling Salesman Tour an NP Hard Problem? Some Polynomial Time Reconstruction Approaches 6. TANYAKUMU Labelling Method: Exact Algorithm for the Travelling Salesman problem (TSP) and equality generalized travelling salesman problem (E-GTSP) 7. Some Reliability Routing Problems and their Evaluation by Network Reconstruction 8. Reconstruction Approach to Reliability and Maximum Flows in Networks

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