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In this paper we consider the issue of energy efficiency in random access networks and show that optimizing transmission probabilities of nodes can enhance network performance in terms of energy cons...
Free energy computations by minimization of Kullback-Leibler divergence: an efficient adaptive biasing potential method for sparse representations
Free energy Kullback-Leibler divergence
2010/11/17
The present paper proposes an adaptive biasing potential for the computation of free energy landscapes. It is motivated by statistical learning arguments and unifies the tasks of biasing the molecula...
A FEASIBLE AND SUPERLINEAR ALGORITHM FOR INEQUALITY CONSTRAINED MINIMIZATION PROBLEMS
Strict complementary conditio
2007/12/10
In this paper, a new algorithm for inequality constrained optimization problems is presented. The algorithm is feasible and is globally and superlinearly convergent under some weaker assumptions - wi...