Identifikace parametrů deterministických modelů - užití metod kvadratického programování

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Title in English Identifuing the parameters of deterministic models - using quadratic programming methods
Authors

POSPÍŠIL Zdeněk

Year of publication 2011
Type Article in Proceedings
Conference Biometric Methods and Models in Current Science and Research. Proceedings
MU Faculty or unit

Faculty of Science

Citation
Field Applied statistics, operation research
Keywords matrix population model; parameters identification; quadratic programming; Coccinellidae; leukaemia
Description Deterministic dynamical models represent a tool for a description of a biological system evolution, namely, of a structured population or interacting populations in (aggro)-ecosystems ones. Such models contain certain number of parameters. To apply the models, one need to identify or to estimate these parameters from field or experimental data. The contribution presents a modification of least-squares method for parameters estimation which leads to a quadratic programming problem. The method is applied to a succession of seven-spot ladybird population on corn and to a leukaemia-free survival of patients.

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