Shunting for Dummies: An Introductory Algorithmic Survey

Michael Gatto, Jens Maue, Matúš Mihalák, Peter Widmayer

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

In this survey we present a selection of commonly used and new train classification methods from an algorithmic perspective.
Original languageEnglish
Title of host publicationRobust and Online Large-Scale Optimization
EditorsRavindra K. Ahuja, Rolf H. Möhring, Christos D. Zaroliagis
PublisherSpringer
Pages310-337
Number of pages28
Volume5868
DOIs
Publication statusPublished - 2009
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science

Cite this

Gatto, M., Maue, J., Mihalák, M., & Widmayer, P. (2009). Shunting for Dummies: An Introductory Algorithmic Survey. In R. K. Ahuja, R. H. Möhring, & C. D. Zaroliagis (Eds.), Robust and Online Large-Scale Optimization (Vol. 5868, pp. 310-337). Springer. Lecture Notes in Computer Science https://doi.org/10.1007/978-3-642-05465-5_13