Shunting for Dummies: An Introductory Algorithmic Survey

Authors:
Michael Gatto;Jens Maue;Matúš Mihalák;Peter Widmayer
Affiliations:
Institute of Theoretical Computer Science, ETH Zurich, Switzerland;Institute of Theoretical Computer Science, ETH Zurich, Switzerland;Institute of Theoretical Computer Science, ETH Zurich, Switzerland;Institute of Theoretical Computer Science, ETH Zurich, Switzerland
Venue:
Robust and Online Large-Scale Optimization
Year:
2009

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Abstract

In this survey we present a selection of commonly used and new train classification methods from an algorithmic perspective.