دورية أكاديمية

Generalized k-Center Problems

التفاصيل البيبلوغرافية
العنوان: Generalized k-Center Problems
المؤلفون: Shiva Chaudhuri, Naveen Garg, R. Ravi
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: ftp://ftp.mpi-sb.mpg.de/pub/papers/reports/MPI-I-96-1-021.ps.gz
المجموعة: CiteSeerX
مصطلحات موضوعية: Approximation algorithm, facility location, k-center problem, bottleneck problem
الوصف: The k-center problem with triangle inequality is that of placing k center nodes in a weighted undirected graph in which the edge weights obey the triangle inequality, so that the maximum distance of any node to its nearest center is minimized. In this paper, we consider a generalization of this problem where, given a number p, we wish to place k centers so as to minimize the maximum distance of any node to its p th closest center. We consider three different versions of this reliable k-center problem depending on which of the nodes can serve as centers and non-centers and derive best possible approximation algorithms for all three versions. Keywords: Approximation algorithm, facility location, k-center problem, bottleneck problem. Max-Planck-Institut fur Informatik, Im Stadtwald, 66123 Saarbrucken, Germany. Work supported by the EU ESPRIT LTR Project No. 20244 (ALCOM-IT). Email: shiva,naveen@mpi-sb.mpg.de y GSIA, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh PA.
نوع الوثيقة: text
وصف الملف: application/postscript
اللغة: English
العلاقة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.1880Test
حقوق: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.B74896A5
قاعدة البيانات: BASE