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Encyclopedia of Algorithms pp 395–398Cite as

Implementation Challenge for Shortest Paths

2006; Demetrescu, Goldberg, Johnson

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Keywords and Synonyms

Test sets and experimental evaluation of computer programs for solving shortest path problems; DIMACS          

Problem Definition

DIMACS Implementation Challenges (http://dimacs.rutgers.edu/Challenges/) are scientific events devoted to assessing the practical performance of algorithms in experimental settings, fostering effective technology transfer and establishing common benchmarks for fundamental computing problems. They are organized by DIMACS, the Center for Discrete Mathematics and Theoretical Computer Science. One of the main goals of DIMACS Implementation Challenges is to address questions of determining realistic algorithm performance where worst case analysis is overly pessimistic and probabilistic models are too unrealistic: experimentation can provide guides to realistic algorithm performance where analysis fails. Experimentation also brings algorithmic questions closer to the original problems that motivated theoretical work. It also tests many assumptions...

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Recommended Reading

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Author information

Authors and Affiliations

  1. Department of Information and Computer Systems, University of Roma, Rome, Italy

    Camil Demetrescu

  2. Microsoft Research – Silicon Valley, Mountain View, CA, USA

    Andrew V. Goldberg

  3. Algorithms and Optimization Research Dept., AT&T Labs, Florham Park, NJ, USA

    David S. Johnson

Authors
  1. Camil Demetrescu
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  2. Andrew V. Goldberg
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  3. David S. Johnson
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer ScienceMcCormick School of Engineering and Applied Science, Northwestern University, Evanston, IL, 60208, USA

    Ming-Yang Kao Professor of Computer Science

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© 2008 Springer-Verlag

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Demetrescu, C., Goldberg, A., Johnson, D. (2008). Implementation Challenge for Shortest Paths. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30162-4_181

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