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Analysis of Complex Networks
. Ed(S): Dehmer, Matthias; Emmert-Streib, Frank
€ 226.65
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Description for Analysis of Complex Networks
Follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. Of ever increasing significance for novel computational areas in biomedical sciences such as systems biology or neuronal network analysis. Written by renowned experts in the field. Editor(s): Dehmer, Matthias; Emmert-Streib, Frank. Num Pages: 480 pages, Illustrations. BIC Classification: PBK; PBT; PBW; PS. Category: (P) Professional & Vocational. Dimension: 247 x 179 x 29. Weight in Grams: 1030.
Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. The book is written by renowned experts in the field and offers valuable background information for a wide audience.
Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. The book is written by renowned experts in the field and offers valuable background information for a wide audience.
Product Details
Publication date
2009
Publisher
Wiley-VCH Verlag GmbH Germany
Number of pages
480
Condition
New
Number of Pages
480
Format
Hardback
Place of Publication
Berlin, Germany
ISBN
9783527323456
SKU
V9783527323456
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About . Ed(S): Dehmer, Matthias; Emmert-Streib, Frank
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). Currently, he is with the Vienna University of Technology (Austria) in the department of Discrete Mathematics and Geometry. His research interests are Graph Theory, Information Theory, Computational Biology and Machine Learning. Frank ... Read more
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