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AUTOMATICA
2005
115views more  AUTOMATICA 2005»
15 years 3 months ago
Robust constrained predictive control using comparison model
This paper proposes a quadratic programming (QP) approach to robust model predictive control (MPC) for constrained linear systems having both model uncertainties and bounded distu...
Hiroaki Fukushima, Robert R. Bitmead
136
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ANOR
2004
116views more  ANOR 2004»
15 years 3 months ago
Approximations and Randomization to Boost CSP Techniques
Abstract. In recent years we have seen an increasing interest in combining constraint satisfaction problem (CSP) formulations and linear programming (LP) based techniques for solvi...
Carla P. Gomes, David B. Shmoys
152
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JCSS
2000
116views more  JCSS 2000»
15 years 3 months ago
Time-Space Tradeoffs for Satisfiability
We give the first nontrivial model-independent time-space tradeoffs for satisfiability. Namely, we show that SAT cannot be solved simultaneously in n1+o(1) time and n1space for an...
Lance Fortnow
124
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MP
2002
110views more  MP 2002»
15 years 3 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
INFORMS
2010
177views more  INFORMS 2010»
15 years 1 months ago
Binarized Support Vector Machines
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...