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CASES
2010
ACM
13 years 5 months ago
Optimizing energy to minimize errors in dataflow graphs using approximate adders
Approximate arithmetic is a promising, new approach to lowenergy designs while tackling reliability issues. We present a method to optimally distribute a given energy budget among...
Zvi M. Kedem, Vincent John Mooney, Kirthi Krishna ...
EOR
2006
103views more  EOR 2006»
13 years 8 months ago
Exact solutions to a class of stochastic generalized assignment problems
This paper deals with a stochastic Generalized Assignment Problem with recourse. Only a random subset of the given set of jobs will require to be actually processed. An assignment...
Maria Albareda-Sambola, Maarten H. van der Vlerk, ...
RECOMB
2003
Springer
14 years 9 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
SODA
2010
ACM
397views Algorithms» more  SODA 2010»
14 years 6 months ago
Improved Approximation Algorithms for the Minimum Latency Problem via Prize-Collecting Strolls
The minimum latency problem (MLP) is a well-studied variant of the traveling salesman problem (TSP). In the MLP, the server's goal is to minimize the average latency that the...
Aaron Archer, Anna Blasiak
FOCS
2003
IEEE
14 years 1 months ago
Approximation Algorithms for Asymmetric TSP by Decomposing Directed Regular Multigraphs
A directed multigraph is said to be d-regular if the indegree and outdegree of every vertex is exactly d. By Hall’s theorem one can represent such a multigraph as a combination ...
Haim Kaplan, Moshe Lewenstein, Nira Shafrir, Maxim...