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APPROX
2008
Springer
107views Algorithms» more  APPROX 2008»
13 years 9 months ago
A General Framework for Designing Approximation Schemes for Combinatorial Optimization Problems with Many Objectives Combined in
Abstract. In this paper, we propose a general framework for designing fully polynomial time approximation schemes for combinatorial optimization problems, in which more than one ob...
Shashi Mittal, Andreas S. Schulz
DMIN
2006
144views Data Mining» more  DMIN 2006»
13 years 9 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
ICALP
2003
Springer
14 years 26 days ago
Algorithmic Aspects of Bandwidth Trading
We study algorithmic problems that are motivated by bandwidth trading in next generation networks. Typically, bandwidth trading involves sellers (e.g., network operators) interest...
Randeep Bhatia, Julia Chuzhoy, Ari Freund, Joseph ...
ICALP
2005
Springer
14 years 1 months ago
How Well Can Primal-Dual and Local-Ratio Algorithms Perform?
We define an algorithmic paradigm, the stack model, that captures many primal-dual and local-ratio algorithms for approximating covering and packing problems. The stack model is ...
Allan Borodin, David Cashman, Avner Magen
IPCO
1998
99views Optimization» more  IPCO 1998»
13 years 9 months ago
Non-approximability Results for Scheduling Problems with Minsum Criteria
We provide several non-approximability results for deterministic scheduling problems whose objective is to minimize the total job completion time. Unless P = NP, none of the probl...
Han Hoogeveen, Petra Schuurman, Gerhard J. Woeging...