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Parallel linear programming in fixed dimension almost surely in constant time

Published: 01 March 1994 Publication History

Abstract

For any fixed dimension d, the linear programming problem with n inequality constraints can be solved on a probabilistic CRCW PRAM with O(n) processors almost surely in constant time. The algorithm always finds the correct solution. With nd/log2d processors, the probability that the algorithm will not finish within O(d2log2d) time tends to zero exponentially with n. —Authors' Abstract

References

[1]
~ALON, N., AND SPENCER, J. H. 1991. The Probabilistic Method. Wiley, New York.
[2]
~BORODIN, A., VON ZUR GATHEN, J.~ AND HOPCROFT, J. E. 1982. Fast parallel matrix and GCD ~computations, bzf. Control 52, 241 256.
[3]
~CHER~qOF~, H. 1952. A measure of asymptotic efficiency for tests of hypothesis based on the sum ~of observations. Aml. Math. Star. 23, 493-507.
[4]
~CLARKSON, K. L. 1986. Linear programming in O(n3~-') time. Inf. Proc. Lett. 22, 21-24.
[5]
~CLARKSON, K. L. 1988. Las Vegas algorithms for linear and integer programming when the ~dimension is small. Unpublished manuscript. (A preliminary version appeared in Proceedings of ~the 29th Alznual IEEE Symposium on Foundations of Computer Science. IEEE, New York, pp. ~452 456).
[6]
~DENG, X. An optimal parallel algorithm for linear programming in the plane. Unpublished ~manuscript.
[7]
~DYER, M. E. 1986. On a multidimensional search technique and its application to the Euclidean ~one-center problem. SlAM J. Comput. 15, 725-738.
[8]
~DYER, M. E., AND FREEZE, A. M. 1989. A randomized algorithm for fixed dimensional linear ~programming. Math. Prog. 44, 203-212.
[9]
~LUEKER, G. S., MEGIDDO, N., AND RAMACHANDRAN, V. 1990. Linear programming with two ~variables per inequality in poly log time. SIAMJ. Comput. 19, 1000-1010.
[10]
~MEGIDDO, N. 1982. Parallel algorithms for finding the maximum and the median almost surely ~in constant-time. Tech. Rep. Graduate School of Industrial Administration, Carnegie-Mellon ~Univ., Pittsburgh, Pa., (Oct.).
[11]
~MEGIDDO, N. 1984. Linear programming in linear time when the dimension is fixed. J. ACM31, ~114-127.
[12]
~REISCHUK, R. 1981. A fast probabilistic parallel sorting algorithm. In Proceedings of the 22nd ~Annual IEEE 3~Vmpostum on Foundations of Computer Science. IEEE, New York, pp. 212-219.
[13]
~VALIANT, L. G. 1975. Parallelism in comparison algorithms. SIAMJ. Compttt. 4, 348-355.
[14]
~WELZL, E. 1988. Partition trees for triangle counting and other range search problems. In ~Proceedings of the 4th Annual ACM Symposiunz oH Computational Geometly (Urbana-Champaign, ~Ill., June 6 8). ACM, New York, pp. 23-33.

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Andrew Donald Booth

This paper is a rehash of a previous paper by K. L. Clarkson [1], to which the authors have added minor extensions to parallel programming. The authors' abstract gives an adequate description of the contents. Starting with the title, however, the paper is obscure and, in places, illiterate; no attempt seems to have been made to check the proof. There is no adequate description of the algorithm announced in section 3, and no indication of the benefits to be expected if it could be implemented.

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Published In

cover image Journal of the ACM
Journal of the ACM  Volume 41, Issue 2
March 1994
230 pages
ISSN:0004-5411
EISSN:1557-735X
DOI:10.1145/174652
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 1994
Published in JACM Volume 41, Issue 2

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Author Tags

  1. computational geometry
  2. linear programming
  3. multidimensional search
  4. parallel computation
  5. probabilistic computation

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