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An Hierarchical Terrain Representation for Approximately Shortest Paths David Mould and Michael C. Horsch Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada S7N 5A9
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Document Date: 2008-08-15 17:38:04


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File Size: 761,98 KB

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City

Saskatoon / /

Company

MIT Press / Charles River Media Inc / Intelligent Transportation Systems / /

Country

Canada / /

Event

Natural Disaster / /

Facility

University of Saskatchewan / Algorithm Our pyramid / Pyramid Construction We / /

IndustryTerm

on-line shortest path computation / time on-line processing / source shortest path algorithms / search performance / heuristic search / admissible tree search / suitable on-line time complexity / All-pairs algorithms / heuristic search methods / on-line process / transportation systems / on-line processing / give algorithms / lineartime on-line complexity / on-line path search / hybrid algorithm / breadth-first search / real-time path- / computer game applications / computing / sparse networks / real-time queries / sublinear time on-line processing / transportation road types / graph search algorithms / search space / heuristic search algorithm / Real-time heuristic search / /

NaturalFeature

Lena / /

Organization

Shortest Paths David Mould and Michael C. Horsch Department of Computer Science / MIT / Airtificial Intelligence / J. Assoc. / University of Saskatchewan / /

Person

Ning Jing / Joseph S. B. Mitchell / Yun-Wu Huang / Steve Rabin / Paul Chew / Elke A. Rundensteiner / Gautam Das / Yi-Jen Chiang / Michael C. Horsch / Michiel H. M. Smid / Robin R. Murphy / Danny Z. Chen / Srinivasa Rao Arikati / Christos D. Zaroliagis / /

Position

editor / representative at each higher level / representative / /

ProvinceOrState

Saskatchewan / /

Technology

give algorithms / All-pairs algorithms / heuristic search algorithm / source shortest path algorithms / hybrid algorithm / artificial intelligence / graph search algorithms / 3 Algorithm / preprocessing algorithm / 1.8 GHz AMD processor / /

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