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SIAMCOMP
2010
104views more  SIAMCOMP 2010»
14 years 4 months ago
Approximation Algorithms for Scheduling Parallel Jobs
Abstract. In this paper we study variants of the non-preemptive parallel job scheduling problem where the number of machines is polynomially bounded in the number of jobs. For this...
Klaus Jansen, Ralf Thöle
ICALP
2010
Springer
15 years 2 months ago
The Positive Semidefinite Grothendieck Problem with Rank Constraint
Given a positive integer n and a positive semidefinite matrix A = (Aij ) ∈ Rm×m the positive semidefinite Grothendieck problem with rank-nconstraint is (SDPn) maximize mX i=1 ...
Jop Briët, Fernando Mário de Oliveira ...
ALGORITHMICA
2010
104views more  ALGORITHMICA 2010»
14 years 10 months ago
Fixed-Parameter Approximation: Conceptual Framework and Approximability Results
The notion of fixed-parameter approximation is introduced to investigate the approximability of optimization problems within the framework of fixed-parameter computation. This work...
Liming Cai, Xiuzhen Huang
ICIP
2000
IEEE
15 years 11 months ago
Shape Approximation Through Recursive Scalable Layer Generation
This paper presents an e cient recursive algorithm for generating operationally optimal intra mode scalable layer decompositions of object contours. The problem is posed in terms ...
Gerry Melnikov, Aggelos K. Katsaggelos
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 18 days ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon