Numerical modelling in biosciences using delay differential equations
DOI10.1016/S0377-0427(00)00468-4zbMath0969.65124MaRDI QIDQ1841955
Fathalla A. Rihan, Gennadii A. Bocharov
Publication date: 7 October 2001
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
physiologyparameter estimationneural networkspopulation dynamicsdelay differential equationsnonlinear integro-differential equationsimmunologyepidemiologynumerical modellingcell kineticsbiological systemsretarded functional differential equationsbiosystem dynamics
Epidemiology (92D30) Integro-ordinary differential equations (45J05) Numerical methods for integral equations (65R20) Other nonlinear integral equations (45G10) Neural networks for/in biological studies, artificial life and related topics (92B20) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Population dynamics (general) (92D25) Computational methods for problems pertaining to biology (92-08)
Related Items
Cites Work
- Delay differential equations: with applications in population dynamics
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- Introduction to functional differential equations
- Introduction to the theory and application of differential equations with deviating arguments. Translated from the Russian by John L. Casti
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