Parallel Function Application on a DNA Substrate

dc.creator	Blumberg, Andrew Justin
dc.date	2004-10-04T14:15:46Z
dc.date	2004-10-04T14:15:46Z
dc.date	1996-12-01
dc.date.accessioned	2013-10-09T02:42:04Z
dc.date.available	2013-10-09T02:42:04Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1588
dc.identifier	http://hdl.handle.net/1721.1/5942
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	In this paper I present a new model that employs a biological (specifically DNA -based) substrate for performing computation. Specifically, I describe strategies for performing parallel function application in the DNA-computing models described by Adelman, Cai et. al., and Liu et. al. Employing only DNA operations which can presently be performed, I discuss some direct algorithms for computing a variety of useful mathematical functions on DNA, culminating in an algorithm for minimizing an arbitrary continuous function. In addition, computing genetic algorithms on a DNA substrate is briefly discussed.
dc.format	14 p.
dc.format	265794 bytes
dc.format	210981 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1588
dc.subject	AI
dc.subject	MIT
dc.subject	Artificial Intelligence
dc.subject	DNA Computing
dc.subject	Parallel Architecture
dc.title	Parallel Function Application on a DNA Substrate

Files in this item

Files	Size	Format	View
There are no files associated with this item.