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dc.contributor.authorUchenwa Linus Okafor-
dc.contributorDepartment of Mathematics, Federal College of Education Zaria, P.M.B 1041 Zaria, Kaduna, Nigeriaen_US
dc.contributorDepartment of Mathematical Sciences, Nigerian Defence Academy, P.M.B 2109, Kaduna, Nigeriaen_US
dc.creatorHaruna, Mohammed-
dc.date.accessioned2023-08-16T07:20:41Z-
dc.date.available2023-08-16T07:20:41Z-
dc.date.issued2023-04-
dc.identifier.citationApplied Mathematics and Computational Intelligence (AMCI), vol.12(1), 2023, pages 1-8en_US
dc.identifier.issn2289-1315 (print)-
dc.identifier.issn2289-1323 (online)-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/79079-
dc.descriptionLink to publisher's homepage at https://amci.unimap.edu.my/en_US
dc.description.abstractSeveral researchers have carried out derivation of equation of motion of mechanical systems with more than one degrees of freedom of movement using different approaches among which is the work of Sivak and Darina [11] who derived the equation of motion of a translational mechanical system with two degrees of freedom using Newton’s second law. This paper, therefore, provides an extension of the work of Sivak and Darina [11] to model a three degree of freedom translational mechanical system. The free-body diagrams of the individual masses are developed and then Newton’s second law applied. Finally, the three equations derived are presented in matrix form in order to solve the system vibration problemsen_US
dc.language.isoenen_US
dc.publisherInstitute of Engineering Mathematics, Universiti Malaysia Perlisen_US
dc.subject.otherDegree-of-freedomen_US
dc.subject.otherDifferential equationen_US
dc.subject.otherMatrix representationen_US
dc.subject.otherMechanical systemen_US
dc.titleCure fraction models on survival data and covariates with a Bayesian parametric estimation methodsen_US
dc.typeArticleen_US
dc.contributor.urlmoharun2017@gmail.comen_US
Appears in Collections:Applied Mathematics and Computational Intelligence (AMCI)

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