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97
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MP
2002
110views more  MP 2002»
14 years 12 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski
CORR
2008
Springer
116views Education» more  CORR 2008»
14 years 12 months ago
Polynomial Filtering for Fast Convergence in Distributed Consensus
Abstract--In the past few years, the problem of distributed consensus has received a lot of attention, particularly in the framework of ad hoc sensor networks. Most methods propose...
Effrosini Kokiopoulou, Pascal Frossard
99
Voted
CORR
2010
Springer
115views Education» more  CORR 2010»
14 years 10 months ago
Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements
This paper presents several novel theoretical results regarding the recovery of a low-rank matrix from just a few measurements consisting of linear combinations of the matrix entr...
Emmanuel J. Candès, Yaniv Plan
CONEXT
2010
ACM
14 years 10 months ago
Assessing the vulnerability of replicated network services
Client-server networks are pervasive, fundamental, and include such key networks as the Internet, power grids, and road networks. In a client-server network, clients obtain a serv...
George Dean Bissias, Brian Neil Levine, Ramesh K. ...
FSTTCS
2010
Springer
14 years 10 months ago
Lower bounds for Quantum Oblivious Transfer
Oblivious transfer is a fundamental primitive in cryptography. While perfect information theoretic security is impossible, quantum oblivious transfer protocols can limit the disho...
André Chailloux, Iordanis Kerenidis, Jamie ...