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Computational Network Theory
Dehmer, Matthias; Emmert-Streib, Frank; Pickl, Stefan
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Description for Computational Network Theory
This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. Series: Quantitative and Network Biology (VCH). Num Pages: 280 pages. BIC Classification: PDE; PSA. Category: (P) Professional & Vocational. Dimension: 253 x 176 x 19. Weight in Grams: 762.
This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data.
The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques.
With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.
This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data.
The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques.
With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.
Product Details
Publication date
2015
Publisher
Wiley-VCH Verlag GmbH Germany
Number of pages
280
Condition
New
Series
Quantitative and Network Biology (VCH)
Number of Pages
280
Format
Hardback
Place of Publication
Berlin, Germany
ISBN
9783527337248
SKU
V9783527337248
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Dehmer, Matthias; Emmert-Streib, Frank; Pickl, Stefan
Matthias Dehmer studied mathematics at the University of Siegen (Germany) and received his Ph.D. in computer science from the Technical University of Darmstadt (Germany). Afterwards, he was a research fellow at Vienna Bio Center (Austria), Vienna University of Technology, and University of Coimbra (Portugal). He obtained his habilitation in applied discrete mathematics from the Vienna University of Technology. Currently, he ... Read more
Reviews for Computational Network Theory
"The authors present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogeneous style, this reference is equally suitable for courses on computational networks." (Zentralblatt MATH 2016)