Sigact ews Complexity Theory Column 2 Lane A . Hemaspaandr a Department of Computer Science, University of Rocheste r Rochester, NY 14620, Pane@cs . rochester .ed u Introduction to Complexity Theory Column 2 Every time I see my wife after a while apart--and as until recently we lived on differen t continents, this was not that rare an event I ' m startled anew by many wonderful facets t o which familiarity will blind me soon thereafter . P and NP are like this too . The friendliness of P and NP became particularly clear to me after I spent some time looking at the (so called "weak") exponential hierarchy, which is a quite different animal than the polynomial hierarchy. After a while, I realized that the exponential hierarchy ' s behavior (e .g ., though P=NP is known to collapse the polynomial hierarchy, E=NE is not known to collapse the exponential hierarchy [Hartmanis, Immerman, and Sewelson, Inf .&Comp ., 1985]) was no t strange . The polynomial hierarchy is the fluke (in the example mentioned above, the flukeof-the-day is that the polynomial hierarchy is defined in terms of base and oracle machine s with the same time
End of preview. The entire article is 11 pages. To view the full-text, please rent this article to continue.
/lp/association-for-computing-machinery/machine-models-and-linear-time-complexity-faUi0pBu40
Welcome to DeepDyve! Rent Premier Research Articles and Save Up to 90%
Machine models and linear time complexity
Regan, Kenneth W.
Follow ACM SIGACT News
, Volume 24 (3)
Association for Computing Machinery – Oct 1, 1993
More Info
More Like This Article
View All dataSource[]=actageo&dataSource[]=aspet&dataSource[]=aaos&dataSource[]=aacc&dataSource[]=aacr&dataSource[]=aea&dataSource[]=aip&dataSource[]=ajnr&dataSource[]=ams&dataSource[]=aps_physical&dataSource[]=appi_book&dataSource[]=appi_journal&dataSource[]=apha&dataSource[]=asip&dataSource[]=asm&dataSource[]=asn&dataSource[]=aspb&dataSource[]=avs&dataSource[]=annual_reviews&dataSource[]=arxiv&dataSource[]=acm&dataSource[]=berghahn&dataSource[]=cabi&dataSource[]=clinical_trials&dataSource[]=dailymed&dataSource[]=degruyter&dataSource[]=du_press&dataSource[]=esa&dataSource[]=eu_press&dataSource[]=elsevier&dataSource[]=emerald&dataSource[]=ejtr&dataSource[]=emea&dataSource[]=epo&dataSource[]=faseb&dataSource[]=gsa&dataSource[]=health_affairs&dataSource[]=hindawi&dataSource[]=imanager&dataSource[]=imedpub&dataSource[]=informa_healthcare&dataSource[]=informs&dataSource[]=iop&dataSource[]=iucr&dataSource[]=iospress&dataSource[]=jbjs&dataSource[]=leftcoast&dataSource[]=lu_press&dataSource[]=mesharpe&dataSource[]=mary_ann_liebert&dataSource[]=medline&dataSource[]=mit_press&dataSource[]=nature&dataSource[]=oxford&dataSource[]=pier_professional&dataSource[]=pnas&dataSource[]=portlandpress&dataSource[]=psyc_articles&dataSource[]=psyc_books&dataSource[]=psyc_critiques&dataSource[]=plos_journal&dataSource[]=pubmed_central&dataSource[]=rsna&dataSource[]=rockefeller&dataSource[]=rcn&dataSource[]=ria&dataSource[]=rsc&dataSource[]=sage&dataSource[]=spie&dataSource[]=springer_journal&dataSource[]=springer&dataSource[]=taylor_francis&dataSource[]=aps&dataSource[]=the_scientist&dataSource[]=uc_press&dataSource[]=uspto_abstract&dataSource[]=wiley&dataSource[]=pct
© 2012 DeepDyve, Inc. All rights reserved.
Terms of Service | Privacy Policy
