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» Challenges for Constraint Programming in Networking
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132
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CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 7 months ago
On Quadratic Programming with a Ratio Objective
Quadratic Programming (QP) is the well-studied problem of maximizing over {−1, 1} values the quadratic form i=j aijxixj. QP captures many known combinatorial optimization proble...
Aditya Bhaskara, Moses Charikar, Rajsekar Manokara...
95
Voted
IFIP
2010
Springer
14 years 10 months ago
The Role of Collaborative Networks in Sustainability
There is a great potential for mutual beneficial synergies between the two fields of Collaborative Networks and Sustainability science. This potential has in fact been recognized i...
Luis M. Camarinha-Matos, Hamideh Afsarmanesh, Xavi...
NETWORKS
2008
15 years 14 days ago
Reformulation and sampling to solve a stochastic network interdiction problem
The Network Interdiction Problem involves interrupting an adversary's ability to maximize flow through a capacitated network by destroying portions of the network. A budget c...
Udom Janjarassuk, Jeff Linderoth
80
Voted
IJCNN
2006
IEEE
15 years 6 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang
97
Voted
CDC
2009
IEEE
161views Control Systems» more  CDC 2009»
15 years 1 months ago
Quadratic Programming based data assimilation with passive drifting sensors for shallow water flows
We present a method for assimilating Lagrangian sensor measurement data into a Shallow Water Equation model. Using our method, the variational data assimilation problem is formulat...
Andrew Tinka, Issam S. Strub, Qingfang Wu, Alexand...