Computational issues regarding the parameter sensitivity in biological models

DIMITRIU, Gabriel

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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