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ESA
2006
Springer
103views Algorithms» more  ESA 2006»
13 years 11 months ago
Greedy in Approximation Algorithms
The objective of this paper is to characterize classes of problems for which a greedy algorithm finds solutions provably close to optimum. To that end, we introduce the notion of k...
Julián Mestre
COCOON
2003
Springer
14 years 17 days ago
Randomized Approximation of the Stable Marriage Problem
Abstract. While the original stable marriage problem requires all participants to rank all members of the opposite sex in a strict order, two natural variations are to allow for in...
Magnús M. Halldórsson, Kazuo Iwama, ...
SIAMSC
2008
167views more  SIAMSC 2008»
13 years 7 months ago
Low-Dimensional Polytope Approximation and Its Applications to Nonnegative Matrix Factorization
In this study, nonnegative matrix factorization is recast as the problem of approximating a polytope on the probability simplex by another polytope with fewer facets. Working on th...
Moody T. Chu, Matthew M. Lin
CORR
2006
Springer
146views Education» more  CORR 2006»
13 years 7 months ago
Approximation Algorithms for Multi-Criteria Traveling Salesman Problems
In multi-criteria optimization, several objective functions are to be optimized. Since the different objective functions are usually in conflict with each other, one cannot conside...
Bodo Manthey, L. Shankar Ram
ISCAS
2008
IEEE
217views Hardware» more  ISCAS 2008»
14 years 1 months ago
Approximate L0 constrained non-negative matrix and tensor factorization
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
Morten Mørup, Kristoffer Hougaard Madsen, L...