نتایج جستجو برای: packing and transporting

تعداد نتایج: 16831345  

Journal: :Discussiones Mathematicae Graph Theory 1998
Ernest J. Cockayne Odile Favaron Christina M. Mynhardt Joël Puech

We prove that the smallest cardinality of a maximal packing in any tree is at most the cardinality of an R-annihilated set. As a corollary to this result we point out that a set of parameters of trees involving packing, perfect neighbourhood, R-annihilated, irredundant and dominating sets is totally ordered. The class of trees for which all these parameters are equal is described and we give an...

2004
Haiquan Wang Genyuan Wang Xiang-Gen Xia

In this correspondence, we propose some new designs of 2 2 unitary space-time codes of sizes 6; 32; 48; 64 with best known diversity products (or product distances) by partially using sphere packing theory. In particular, we present an optimal 2 2 unitary space-time code of size 6 in the sense that it reaches the maximal possible diversity product for 22 unitary space-time codes of size 6. The ...

2012
YUKI IGUCHI

Let ν+ and ν− be two measured laminations which fill up a hyperbolic surface. Kerckhoff [Duke Math. J. 65 (1992), 187–213] defines a line of minima as a family of surfaces where convex combinations of the hyperbolic length functions of ν+ and ν− are minimum. This is a proper curve in the Teichmüller space. We show that there exists a line of minima which does not converge in the Thurston compac...

Journal: :CoRR 2006
Pierre Loidreau

We study properties of rank metric and codes in rank metric over finite fields. We show that perfect codes do not exist. We derive an equivalent of the Varshamov-Gilbert bound in Hamming metric. We study the asymptotic behavior of the minimum rank distance of codes that are on GV. We show that the packing density of maximum rank distance codes is lower bounded by a function depending on the err...

2007
Pablo Garrido María Cristina Riff

In this paper we introduce an evolutionary hyperheuristic approach to solve difficult strip packing problems. We have designed a genetic based hyperheuristic using the most recently proposed low-level heuristics in the literature. Two versions for tuning parameters have also been evaluated. The results obtained are very encouraging showing that our approach outperforms the single heuristics and...

Journal: :Journal of Combinatorial Theory, Series A 1984

Journal: :Theoretical Computer Science 2003

Journal: :ACM Transactions on Architecture and Code Optimization 2006

Journal: :Theoretical Computer Science 2004

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