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VLSID
2002
IEEE
124views VLSI» more  VLSID 2002»
16 years 6 months ago
Efficient Approximate Balanced Truncation of General Large-Scale RLC Systems via Krylov Methods
We present an efficient implementation of an approximate balanced truncation model reduction technique for general large-scale RLC systems, described by a statespace model where t...
Q. Su, Venkataramanan Balakrishnan, Cheng-Kok Koh
ICS
2010
Tsinghua U.
16 years 3 months ago
Local Algorithms for Finding Interesting Individuals in Large Networks
: We initiate the study of local, sublinear time algorithms for finding vertices with extreme topological properties -- such as high degree or clustering coefficient -- in large so...
Mickey Brautbar, Michael Kearns
MABS
2007
Springer
16 years 17 days ago
System Issues in Multi-agent Simulation of Large Crowds
Crowd simulation is a complex and challenging domain. Crowds demonstrate many complex behaviours and are consequently difficult to model for realistic simulation systems. Analyzing...
Vidit Bansal, Ramachandra Kota, Kamalakar Karlapal...
MOBICOM
2004
ACM
15 years 12 months ago
Characterizing flows in large wireless data networks
Several studies have recently been performed on wireless university campus networks, corporate and public networks. Yet little is known about the flow-level characterization in s...
Xiaoqiao Meng, Starsky H. Y. Wong, Yuan Yuan, Song...
CORR
2010
Springer
219views Education» more  CORR 2010»
15 years 6 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor