Copyright © 1997 Published by Elsevier Science B.V.
An efficient, strongly polynomial,
-approximation parametric optimization scheme*1
Received 6 June 1996;
revised 21 July 1997.
Communicated by V. Ramachandran
Available online 12 May 1998.
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Abstract
Given a set
, vectors
, an interval
, a fixed 0 <
< 1, and an oracle that, for any 0 <
< 1 finds an
-approximate solution to problem max{hT x ¦ x
X} for any
, we present theoretically and practically efficient
-approximation algorithm, for the problem min{ν(λ) ¦ λ
[a,b]}, where ν(λ) = max{(c − λd)Tx ¦ x
X}. When the elements of the set X are {0, ± 1} vectors, the total number of iterations required by our algorithm is O(n7(log n)4).
Author Keywords: Algorithms; Combinatorial problems; Newton's method






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