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Geometric Spanner Networks Narasimhan Smid Hardback Cambridge University Press

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Product Description

Geometric Spanner Networks

Rigorous descriptions and analyses of the main algorithms for different variations of the Geometric Spanner Network Problem.

Giri Narasimhan (Author), Michiel Smid (Author)

9780521815130, Cambridge University Press

Hardback, published 8 January 2007

516 pages

26 x 18.5 x 3.4 cm, 1.06 kg

\""The writing style is clear, with a clean presentation enriched with boxes highlighting important contents and figures.\""

David Orden, Mathematical Reviews

Aimed at an audience of researchers and graduate students in computational geometry and algorithm design, this book uses the Geometric Spanner Network Problem to showcase a number of useful algorithmic techniques, data structure strategies, and geometric analysis techniques with many applications, practical and theoretical. The authors present rigorous descriptions of the main algorithms and their analyses for different variations of the Geometric Spanner Network Problem. Though the basic ideas beh]

Geometric Spanner Networks Narasimhan Smid Hardback Cambridge University Press

Geometric Spanner Networks

Rigorous descriptions and analyses of the main algorithms for different variations of the Geometric Spanner Network Problem.

Giri Narasimhan (Author), Michiel Smid (Author)

9780521815130, Cambridge University Press

Hardback, published 8 January 2007

516 pages

26 x 18.5 x 3.4 cm, 1.06 kg

\""The writing style is clear, with a clean presentation enriched with boxes highlighting important contents and figures.\""

David Orden, Mathematical Reviews

Aimed at an audience of researchers and graduate students in computational geometry and algorithm design, this book uses the Geometric Spanner Network Problem to showcase a number of useful algorithmic techniques, data structure strategies, and geometric analysis techniques with many applications, practical and theoretical. The authors present rigorous descriptions of the main algorithms and their analyses for different variations of the Geometric Spanner Network Problem. Though the basic ideas beh]

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