Ushering in a new era of algorithm design

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Advances in data acquisition technology, together with the imminent demise of Moore's Law, are prompting a rethink of basic algorithm design principles. Computing with massive data sets, data streaming, coping with uncertainty, priced computation, property testing, and sublinear algorithms are all parts of the story. So is the growing trend toward using algorithms as modeling tools for natural phenomena. I will discuss some of these developments; in particular, dimension reduction, sublinear algorithms, online reconstruction, and self-improving algorithms.

Original languageEnglish (US)
Title of host publicationAutomata, Languages and Programming - 34th International Colloquium, ICALP 2007, Proceedings
PublisherSpringer Verlag
Number of pages1
ISBN (Print)3540734198, 9783540734192
DOIs
StatePublished - 2007
Event34th International Colloquium on Automata, Languages and Programming, ICALP 2007 - Wroclaw, Poland
Duration: Jul 9 2007Jul 13 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4596 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other34th International Colloquium on Automata, Languages and Programming, ICALP 2007
CountryPoland
CityWroclaw
Period7/9/077/13/07

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Ushering in a new era of algorithm design'. Together they form a unique fingerprint.

  • Cite this

    Chazelle, B. (2007). Ushering in a new era of algorithm design. In Automata, Languages and Programming - 34th International Colloquium, ICALP 2007, Proceedings (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4596 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-73420-8_1