Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/3247
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dc.contributor.authorLeung, Andrew Yee Taken_US
dc.date.accessioned2022-05-20T07:37:12Z-
dc.date.available2022-05-20T07:37:12Z-
dc.date.issued1991-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/3247-
dc.description.abstractFor a microcomputer user in civil engineering, the. major factor of concern is not necessarily the computing time but the incore memory. It is particularly important for dynamic and nonlinear analyses. Solution techniques employing secondary memory to extend the capacity of a microcomputer in solving engineering problems are active research topics. There are many engineering problems which have regular data structures, e.g. tall buildings, long bridges, etc. Band matrix solution techniques are suitable for regular data structures. A partitioned matrix method is introduced for the engineering eigenvalue problem here. Static solutions are included as particular cases. FORTRAN listings are given.en_US
dc.language.isoenen_US
dc.publisherJohn Wiley & Sonsen_US
dc.relation.ispartofMicrocomputers in Civil Engineering-
dc.titleBlock band matrix subspace iterationen_US
dc.typejournal articleen_US
dc.identifier.doi10.1111/j.1467-8667.1991.tb00398.x-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn2162-6316en_US
dc.description.volume6en_US
dc.description.issue1en_US
dc.description.startpage59en_US
dc.description.endpage65en_US
dc.cihe.affiliatedNo-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypejournal article-
item.fulltextNo Fulltext-
crisitem.author.deptSchool of Computing and Information Sciences-
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