Approximate maxima finding of continuous functions under restricted budget

Evangelos Kranakis, Danny Krizanc, Andrzej Pelc, David Peleg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A function is distributed among nodes of a graph in a " continuous" way, i.e., such that the difference between values stored at adjacent nodes is small. The goal is to find a node of maximum value by probing some nodes under a restricted budget. Every node has an associated cost which has to be paid for probing it and a probe reveals the value of the node. If the total budget is too small to allow probing every node, it is impossible to find the maximum value in the worst case. Hence we seek an Approximate Maxima Finding (AMF) algorithm that offers the best worst-case guarantee g, i.e., for any continuous distribution of values it finds a node whose value differs from the maximum value by at most g. Approximate Maxima Finding in graphs is related to a generalization of the multicenter problem and we get new results for this problem as well. For example, we give a polynomial algorithm to find a minimum cost solution for the multicenter problem on a tree, with arbitrary node costs.

Original languageEnglish
Title of host publicationGraph-Theoretic Concepts in Computer Science - 22nd International Workshop, WG 1996, Proceedings
Pages268-278
Number of pages11
DOIs
StatePublished - 1997
Externally publishedYes
Event22nd International Workshop on Graph-Theoretic Concepts in Computer Science, WG 1996 - Cadenabbia, Italy
Duration: 12 Jun 199614 Jun 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1197 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Workshop on Graph-Theoretic Concepts in Computer Science, WG 1996
Country/TerritoryItaly
CityCadenabbia
Period12/06/9614/06/96

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