Affiliation:
1. AT&T Bell Labs, Murray Hill, NJ
Abstract
This paper gives an algorithm for solving linear programming problems. For a problem with n constraints and d variables, the algorithm requires an expected
O(d
2
n) + (log n)O(d)
d/2+O(1)
+ O(d
4
√nlog n)
arithmetic operations, as
n→∞
. The constant factors do not depend on d. Also, an algorithm is given for integer linear programming. Let φ bound the number of bits required to specify the rational numbers defining an input constraint or the objective function vector. Let n and d be as before. Then, the algorithm requires expected
O(2
d
dn + 8
d
d√n ln ln n) + d
O(d)
φ ln n
operations on numbers with
d
O(1)
φ
bits, as
n→∞
, where the constant factors do not depend on d or φ to other convex programming problems. For example, an algorithm for finding the smallest sphere enclosing a set of n points in E
d
has the same time bound.
Publisher
Association for Computing Machinery (ACM)
Subject
Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software
Reference30 articles.
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