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Computational issues regarding the parameter sensitivity in biological models

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dc.contributor.author DIMITRIU, Gabriel
dc.date.accessioned 2020-11-03T12:03:19Z
dc.date.available 2020-11-03T12:03:19Z
dc.date.issued 2018
dc.identifier.citation DIMITRIU, Gabriel. Computational issues regarding the parameter sensitivity in biological models. In: CAIM 2018: The 26th Conference on Applied and Industrial Mathematics: Book of Abstracts, Technical University of Moldova, September 20-23, 2018. Chişinău: Bons Offices, 2018, p. 47. en_US
dc.identifier.uri http://repository.utm.md/handle/5014/11023
dc.description Only Abstract en_US
dc.description.abstract The aim of this talk is to present computational issues contained in parameter sensitivity studies associated to several biological models. The local sensitivity is carried out by using the QR decomposition with column pivoting to the relative sensitivity matrix. We evaluate the relative identifiability of the parameters and establish orderings with respect to their identifiability. Also, a global sensitivity analysis is performed with sensitivity heat maps of the model variables and parameter sensitivity spectra. en_US
dc.language.iso en en_US
dc.publisher Bons Offices en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject computational issues en_US
dc.subject biological models en_US
dc.subject identifiability en_US
dc.subject sensitivity analysis en_US
dc.title Computational issues regarding the parameter sensitivity in biological models en_US
dc.type Article en_US


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