Compartmental Analysis in Biology and Medicine

amount analysis appear applications approach approximation assume basic becomes called capillary cells Chapter closed coefficients compartment compartmental models compartmental systems concentration connected consider constant continuous density function depends derivatives determined deterministic develop diagram differential equations distribution effects eigenvalues elements error estimate example expected experiment exponential Figure flow follows fraction function given gives identifiable important independent individual infection inflow initial input integral introduce isotope kinetics labeled lags least leave linear systems look material Math matrix mean measure method molecules multiple nonlinear normal Notice observation observation function obtain outflow parameters points population possible probability problem properties reaction reference relations residence sample shown simple solution space squares steady stochastic structure subsystem theory tissue tracer transfer transfer coefficients transit traps unit values variables variance zero