An Efficient Re-Scaled Perceptron Algorithm for Conic Systems
The classical perceptron algorithm is an elementary row-action/relaxation algorithm for solving a homogeneous linear inequality system Ax > 0. A natural condition measure associated with this algorithm is the Euclidean width T of the cone of feasible solutions, and the iteration complexity of the...
Main Authors: | , , |
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Format: | Working Paper |
Language: | en_US |
Published: |
2007
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Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/37304 |