On the weighted Euclidean matching problem in d

Birgit Anthes; Ludger Rüschendorf

Applicationes Mathematicae (2001)

  • Volume: 28, Issue: 2, page 181-190
  • ISSN: 1233-7234

Abstract

top
A partitioning algorithm for the Euclidean matching problem in d is introduced and analyzed in a probabilistic model. The algorithm uses elements from the fixed dissection algorithm of Karp and Steele (1985) and the Zig-Zag algorithm of Halton and Terada (1982) for the traveling salesman problem. The algorithm runs in expected time n ( l o g n ) p - 1 and approximates the optimal matching in the probabilistic sense.

How to cite

top

Birgit Anthes, and Ludger Rüschendorf. "On the weighted Euclidean matching problem in $ℝ^d$." Applicationes Mathematicae 28.2 (2001): 181-190. <http://eudml.org/doc/279359>.

@article{BirgitAnthes2001,
abstract = {A partitioning algorithm for the Euclidean matching problem in $ℝ^d$ is introduced and analyzed in a probabilistic model. The algorithm uses elements from the fixed dissection algorithm of Karp and Steele (1985) and the Zig-Zag algorithm of Halton and Terada (1982) for the traveling salesman problem. The algorithm runs in expected time $n(logn)^\{p-1\}$ and approximates the optimal matching in the probabilistic sense.},
author = {Birgit Anthes, Ludger Rüschendorf},
journal = {Applicationes Mathematicae},
keywords = {Euclidean matching problem; partitioning algorithm; probabilistic analysis of algorithms},
language = {eng},
number = {2},
pages = {181-190},
title = {On the weighted Euclidean matching problem in $ℝ^d$},
url = {http://eudml.org/doc/279359},
volume = {28},
year = {2001},
}

TY - JOUR
AU - Birgit Anthes
AU - Ludger Rüschendorf
TI - On the weighted Euclidean matching problem in $ℝ^d$
JO - Applicationes Mathematicae
PY - 2001
VL - 28
IS - 2
SP - 181
EP - 190
AB - A partitioning algorithm for the Euclidean matching problem in $ℝ^d$ is introduced and analyzed in a probabilistic model. The algorithm uses elements from the fixed dissection algorithm of Karp and Steele (1985) and the Zig-Zag algorithm of Halton and Terada (1982) for the traveling salesman problem. The algorithm runs in expected time $n(logn)^{p-1}$ and approximates the optimal matching in the probabilistic sense.
LA - eng
KW - Euclidean matching problem; partitioning algorithm; probabilistic analysis of algorithms
UR - http://eudml.org/doc/279359
ER -

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.