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A shortest distance algorithm: The Hedetniemi matrix sum

dc.contributor.authorArlinghaus, Sandra Lach
dc.contributor.authorArlinghaus, William Charles
dc.contributor.authorNystuen, John D.
dc.date.accessioned2008-06-17T17:22:20Z
dc.date.available2008-06-17T17:22:20Z
dc.date.issued1990-10
dc.identifier.citationArlinghaus, Sandra L.; Arlinghaus, William C.; Nystuen, John D. "A shortest distance algorithm: The Hedetniemi matrix sum." Geographical Analysis, Vol. 22, No. 4, October 1990, pp. 351-360. Ohio State University Press. Persistent URL (URI): http://hdl.handle.net/2027.42/59763en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/59763
dc.descriptionThe reader may need to spend extra time on notation.en_US
dc.description.abstractDifferent use of matrices to measure distance in a network.en_US
dc.format.extent622200 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherOhio State University Pressen_US
dc.subjectDistance Algorithmen_US
dc.subjectMatrixen_US
dc.titleA shortest distance algorithm: The Hedetniemi matrix sumen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelGeography and Maps
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumS. Arlinghaus: Adjunct Professor of Mathematical Geography and Population-Environment, School of Natural Resources and Environmenten_US
dc.contributor.affiliationumJ. Nystuen: Professor of Urban Planning and Geography, Taubman College of Architecture and Urban Planningen_US
dc.contributor.affiliationotherW. Arlinghaus: Professor of Mathematics and Computer Science, Lawrence Technological Universityen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid2124416en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/59763/1/gahedet.pdf
dc.owningcollnameMathematical Geography, Institute of (IMaGe)


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