Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/94052
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dc.contributor.authorShu, Jian Junen
dc.contributor.authorWang, Qi Wenen
dc.contributor.authorYong, Kian Yanen
dc.date.accessioned2011-09-29T07:31:10Zen
dc.date.accessioned2019-12-06T18:49:59Z-
dc.date.available2011-09-29T07:31:10Zen
dc.date.available2019-12-06T18:49:59Z-
dc.date.copyright2011en
dc.date.issued2011en
dc.identifier.citationShu, J. J., Wang, Q. W., & Yong, K. Y. (2011). DNA-Based Computing of Strategic Assignment Problems. Physical Review Letters, 106(18).en
dc.identifier.issn0031-9007en
dc.identifier.urihttps://hdl.handle.net/10356/94052-
dc.description.abstractDNA-based computing is a novel technique to tackle computationally difficult problems, in which computing time grows exponentially corresponding to problematic size. A strategic assignment problem is a typical nondeterministic polynomial problem, which is often associated with strategy applications. In this Letter, a new approach dealing with strategic assignment problems is proposed based on manipulating DNA strands, which is believed to be better than the conventional silicon-based computing in solving the same problem.en
dc.format.extent4 p.en
dc.language.isoenen
dc.relation.ispartofseriesPhysical review lettersen
dc.rights© 2011 American Physical Society. This paper was published in Physical Review Letters and is made available as an electronic reprint (preprint) with permission of American Physical Society. The paper can be found at: [DOI: http://dx.doi.org/10.1103/PhysRevLett.106.188702]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.en
dc.subjectDRNTU::Engineering::Bioengineeringen
dc.titleDNA-based computing of strategic assignment problemsen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen
dc.identifier.doi10.1103/PhysRevLett.106.188702en
dc.description.versionPublished versionen
dc.identifier.rims158237en
item.grantfulltextopen-
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