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Optimization of gene-environment networks in the presence of errors and uncertainty with Chebychev approximation

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dc.creator Weber, G. -W.
dc.creator Taylan, P.
dc.creator Alparslan-Gok, S. Z.
dc.creator Oezoeguer-Akyuz, S.
dc.creator Akteke-Ozturk, B.
dc.date 2008-11-30T22:00:00Z
dc.date.accessioned 2020-10-06T09:39:53Z
dc.date.available 2020-10-06T09:39:53Z
dc.identifier 34358820-c494-43ef-a62e-c9369f88f545
dc.identifier 10.1007/s11750-008-0052-5
dc.identifier https://avesis.sdu.edu.tr/publication/details/34358820-c494-43ef-a62e-c9369f88f545/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/57075
dc.description This mathematical contribution is addressed towards the wide interface of life and human sciences that exists between biological and environmental information. Like very few other disciplines only, the modeling and prediction of genetical data is requesting mathematics nowadays to deeply understand its foundations. This need is even forced by the rapid changes in a world of globalization. Such a study has to include aspects of stability and tractability; the still existing limitations of modern technology in terms of measurement errors and uncertainty have to be taken into account. In this paper, the important role played by the environment is rigorously introduced into the biological context and connected with employing the theories of optimization and dynamical systems. Especially, a matrix-vector and interval concept and algebra are used; some special attention is paid to splines.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Optimization of gene-environment networks in the presence of errors and uncertainty with Chebychev approximation
dc.type info:eu-repo/semantics/article


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