The shortest-path problem: analysis and comparison of methods
Many applications in different domains need to calculate the shortest-path between two points in a graph. In this paper we describe this shortest path problem in detail, starting with the classic Dijkstra's algorithm and moving to more advanced solutions that are currently applied to road netwo...
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Format: | Elektronisch E-Book |
Sprache: | English |
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© 2015
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Schriftenreihe: | Synthesis lectures on theoretical computer science
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Online-Zugang: | UER01 Volltext |
Zusammenfassung: | Many applications in different domains need to calculate the shortest-path between two points in a graph. In this paper we describe this shortest path problem in detail, starting with the classic Dijkstra's algorithm and moving to more advanced solutions that are currently applied to road network routing, including the use of heuristics and precomputation techniques. Since several of these improvements involve subtle changes to the search space, it may be difficult to appreciate their benefits in terms of time or space requirements. To make methods more comprehensive and to facilitate their comparison, this book presents a single case study that serves as a common benchmark. The paper also compares the search spaces explored by the methods described, both from a quantitative and qualitative point of view, and including an analysis of the number of reached and settled nodes by different methods for a particular topology |
Beschreibung: | Online Ressource (xv, 71 pages) illustrations |
ISBN: | 9781627055406 |
DOI: | 10.2200/S00618ED1V01Y201412TCS001 |
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520 | 3 | |a Many applications in different domains need to calculate the shortest-path between two points in a graph. In this paper we describe this shortest path problem in detail, starting with the classic Dijkstra's algorithm and moving to more advanced solutions that are currently applied to road network routing, including the use of heuristics and precomputation techniques. Since several of these improvements involve subtle changes to the search space, it may be difficult to appreciate their benefits in terms of time or space requirements. To make methods more comprehensive and to facilitate their comparison, this book presents a single case study that serves as a common benchmark. The paper also compares the search spaces explored by the methods described, both from a quantitative and qualitative point of view, and including an analysis of the number of reached and settled nodes by different methods for a particular topology | |
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author | Ortega-Arranz, Hector Llanos, Diego R. Gonzalez-Escribano, Arturo |
author_facet | Ortega-Arranz, Hector Llanos, Diego R. Gonzalez-Escribano, Arturo |
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author_sort | Ortega-Arranz, Hector |
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building | Verbundindex |
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ctrlnum | (OCoLC)1024115634 (DE-599)BSZ430175124 |
dewey-full | 511.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 511 - General principles of mathematics |
dewey-raw | 511.5 |
dewey-search | 511.5 |
dewey-sort | 3511.5 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.2200/S00618ED1V01Y201412TCS001 |
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indexdate | 2024-07-10T08:01:18Z |
institution | BVB |
isbn | 9781627055406 |
language | English |
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series | Synthesis lectures on theoretical computer science |
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spelling | Ortega-Arranz, Hector Verfasser aut The shortest-path problem analysis and comparison of methods Hector Ortega-Arranz, Diego R. Llanos, and Arturo Gonzalez-Escribano (Universidad de Valladolid, Spain) [San Rafael, California] Morgan & Claypool Publishers [2015] © 2015 Online Ressource (xv, 71 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Synthesis lectures on theoretical computer science #1 Many applications in different domains need to calculate the shortest-path between two points in a graph. In this paper we describe this shortest path problem in detail, starting with the classic Dijkstra's algorithm and moving to more advanced solutions that are currently applied to road network routing, including the use of heuristics and precomputation techniques. Since several of these improvements involve subtle changes to the search space, it may be difficult to appreciate their benefits in terms of time or space requirements. To make methods more comprehensive and to facilitate their comparison, this book presents a single case study that serves as a common benchmark. The paper also compares the search spaces explored by the methods described, both from a quantitative and qualitative point of view, and including an analysis of the number of reached and settled nodes by different methods for a particular topology Graph algorithms Paths and cycles (Graph theory) Llanos, Diego R. Verfasser aut Gonzalez-Escribano, Arturo Verfasser aut Erscheint auch als Druck-Ausgabe, Paperback 978-1-62705-539-0 Synthesis lectures on theoretical computer science #1 (DE-604)BV044754765 1 https://doi.org/10.2200/S00618ED1V01Y201412TCS001 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Ortega-Arranz, Hector Llanos, Diego R. Gonzalez-Escribano, Arturo The shortest-path problem analysis and comparison of methods Synthesis lectures on theoretical computer science |
title | The shortest-path problem analysis and comparison of methods |
title_auth | The shortest-path problem analysis and comparison of methods |
title_exact_search | The shortest-path problem analysis and comparison of methods |
title_full | The shortest-path problem analysis and comparison of methods Hector Ortega-Arranz, Diego R. Llanos, and Arturo Gonzalez-Escribano (Universidad de Valladolid, Spain) |
title_fullStr | The shortest-path problem analysis and comparison of methods Hector Ortega-Arranz, Diego R. Llanos, and Arturo Gonzalez-Escribano (Universidad de Valladolid, Spain) |
title_full_unstemmed | The shortest-path problem analysis and comparison of methods Hector Ortega-Arranz, Diego R. Llanos, and Arturo Gonzalez-Escribano (Universidad de Valladolid, Spain) |
title_short | The shortest-path problem |
title_sort | the shortest path problem analysis and comparison of methods |
title_sub | analysis and comparison of methods |
url | https://doi.org/10.2200/S00618ED1V01Y201412TCS001 |
volume_link | (DE-604)BV044754765 |
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