Approximation Algorithms For Shortest Paths
Approximation Algorithms for Shortest Paths is an algorithmic approach within shortest path computation that provides near-optimal solutions with provable performance guarantees for problems where exact solutions are computationally expensive or infeasible.
348
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16.7K
Citations
599
Authors
297
Institutions
Publications per year
2017–2026
52
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Fast exact and approximate geodesics on meshes
Vitaly Surazhsky, Tatiana Surazhsky, Danil Kirsanov et al. · ACM Transactions on Graphics · 2005 · 500 citations · Full text
Approximation algorithms for shortest path motion planning
Kenneth L. Clarkson · 1987 · 262 citations · Full text
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University of Illinois Urbana-Champaign, United States
7 publications · 232 citations
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297

Tel Aviv University
Tel Aviv, Israel
13 h-index
20 publications
1.2K citations
Duke University
Durham, United States
12 h-index
20 publications
760 citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
20 publications
1.6K citations

Carleton University
Ottawa, Canada
11 h-index
22 publications
1.4K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
15 publications
790 citations
University of California, Berkeley
Berkeley, United States
9 h-index
13 publications
1.2K citations
University of Bonn
Bonn, Germany
8 h-index
11 publications
639 citations
ETH Zurich
Zurich, Switzerland
8 h-index
15 publications
372 citations
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19 publications · 1K citations
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Repository · 8 publications · 224 citations
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