Parallel Function Application on a DNA Substrate

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5942

Full metadata record

DC Field	Value	Language
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	-
Appears in Collections:	MIT Items

Files in This Item:

There are no files associated with this item.

DSpace JSPUI