Background: Solving systems of nonlinear differential equations is of significant interest in applying pharmacokinetic-pharmacodynamic and systems pharmacology. Inductive Linearisation (IndLin) [1] is a numerical solver that has been developed for generating approximated solutions to nonlinear systems based on iterative linearisation to yield a linear time-varying (LTV) ODE. The method is then paired with the integrator […]
shase914
- University ofOtago
Author Archive | shase914
Exploring and optimising the computational efficiency of Inductive Linearisation for estimation
January 10, 2021
Authors Sepi Sharif, Chihiro Hasegawa, Stephen B. Duffull
Affiliations School of Pharmacy, University of Otago, Dunedin, New Zealand
Presentation type Oral
Presenters Sepi Sharif
Background: Determining the optimal choice of a dose of medicine to meet the patient’s need is a complicated mathematical and statistical problem. Large between-subject variability in metabolic, excretion processes, and physiological systems involving drug effect, as well as complicated nonlinearities, are at the heart of the problem. This leads to nonlinear differential equations that need […]