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122
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AIPS
2006
15 years 1 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
NN
2000
Springer
14 years 11 months ago
2000
Springer
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
IJCGA
2006
14 years 11 months ago
2006
In this paper, we consider the optimal well-constrained completion problem, that is, for an under-constrained geometric constraint problem, add automatically new constraints in suc...
160
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MFCS
2010
Springer
14 years 10 months ago
2010
Springer
The problem of finding a satisfying assignment for a 2-SAT formula that minimizes the number of variables that are set to 1 (min ones 2–sat) is NP-complete. It generalizes the w...
104
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MP
2006
14 years 11 months ago
2006
In this paper, we propose a new methodology for handling optimization problems with uncertain data. With the usual Robust Optimization paradigm, one looks for the decisions ensurin...