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Computational network theory : theoretical foundations and applications
by
Emmert-Streib, Frank
, Dehmer, Matthias
, Pickl, Stefan
in
Computational complexity
/ Computational intelligence
/ Computer networks
/ Graph theory
/ Mathematics
/ Neural networks (Computer science)
/ Neural networks (Neurobiology)
/ Statistical methods
/ System analysis
/ System analysis -- Computer simulation
/ System analysis -- Mathematical models
/ Systems biology
2015
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Computational network theory : theoretical foundations and applications
by
Emmert-Streib, Frank
, Dehmer, Matthias
, Pickl, Stefan
in
Computational complexity
/ Computational intelligence
/ Computer networks
/ Graph theory
/ Mathematics
/ Neural networks (Computer science)
/ Neural networks (Neurobiology)
/ Statistical methods
/ System analysis
/ System analysis -- Computer simulation
/ System analysis -- Mathematical models
/ Systems biology
2015
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Do you wish to request the book?
Computational network theory : theoretical foundations and applications
by
Emmert-Streib, Frank
, Dehmer, Matthias
, Pickl, Stefan
in
Computational complexity
/ Computational intelligence
/ Computer networks
/ Graph theory
/ Mathematics
/ Neural networks (Computer science)
/ Neural networks (Neurobiology)
/ Statistical methods
/ System analysis
/ System analysis -- Computer simulation
/ System analysis -- Mathematical models
/ Systems biology
2015
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Computational network theory : theoretical foundations and applications
eBook
Computational network theory : theoretical foundations and applications
2015
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Overview
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.
Publisher
Wiley-VCH,Wiley,John Wiley & Sons, Incorporated,Wiley-Blackwell
Subject
ISBN
3527337245, 9783527337248
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