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&egr;-optimization schemes and L-bit precision (extended abstract): alternative perspectives in combinatorial optimization
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-second annual ACM symposium on Theory of computing table of contents
Portland, Oregon, United States
Pages: 565 - 572  
Year of Publication: 2000
ISBN:1-58113-184-4
Authors
James B. Orlin  M.I.T., Sloan School of Management, Operations Research Center, E40-149, Cambridge, MA
Andreas S. Schulz  M.I.T., Sloan School of Management, Operations Research Center, E53-361, Cambridge, MA
Sudipta Sengupta  M.I.T., Laboratory for Computer Science, Cambridge, MA
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 15,   Citation Count: 1
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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H. L. Lenstra Jr. Integer programming with a fixed number of variables. Mathematics of Operations Research, 8:538-547, 1983.
 
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R. Karp. Reducibility among combinatorial problems. In R. Miller and J. Thatcher, editors, Complexity of Computer Computations, pages 85-103. Plenum Press, 1972.
 
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T.-C. Lai and J. Orlin. The complexity of preprocessing. Working paper, Sloan School of Management, M.I.T., 1998.
 
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S. Sengupta. Algorithms and approximation schemes for minimum lateness/tardiness scheduling with rejection. Manuscript, Laboratory for Computer Science, M.i.T., 1999.


Collaborative Colleagues:
James B. Orlin: colleagues
Andreas S. Schulz: colleagues
Sudipta Sengupta: colleagues