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Exploiting total unimodularity for classes of random network problems

Autor
Castro, J.; Nasini, S.
Tipus d'activitat
Document cientificotècnic
Data
2013-07
Codi
DR2013-01
Projecte finançador
MTM2012-31440 Optimization of large-scale structured problems. Applications to data confidentiality.
Repositori
http://hdl.handle.net/2117/21031 Obrir en finestra nova
URL
http://www-eio.upc.es/~jcastro/publications/reports/dr2013-01.pdf Obrir en finestra nova
Resum
Network analysis is of great interest for the study of social , biological and technolog- ical networks, with applications, among others, in busines s, marketing, epidemiology and telecommunications. Researchers are often interested in a ssessing whether an observed fea- ture in some particular network is expected to be found withi n families of networks under some hypothesis (named conditional random networks, i.e., networks satisfying some linear constraints). This work presents procedures to ...
Citació
Castro, J.; Nasini, S. "Exploiting total unimodularity for classes of random network problems". 2013.
Paraules clau
Integer Programming, Linear Programming, Total Unimodula Rity, Interior-point Methods, Complex Networks, Social Networks Analysis
Grup de recerca
GNOM - Grup d´Optimització Numèrica i Modelització

Participants

Arxius