A Guide to Numerical Modelling in Systems Biology

“This book is structured in three chapters covering
the ODE modeling for the identification and characterization of biological
networks, the handling of numerical simulations for the proposed ODE models and
the corresponding parameters identification, respectively. … included a list of
numerical algorithms and software packages that facilitate the understanding of
the ODE-related problems. … written in an accessible manner, with plenty of
examples, making it a valuable addition to the series of textbooks in computational
science and engineering.” (Irina Ioana Mohorianu, zbMATH, Vol. 1325.92001, 2016)

“It focuses almost solely on the mundane
mathematical topic of ordinary differential equations (ODEs) and their
parameter estimation … . the prime readership for this volume is to be found
more amongst advanced researchers in systems biology trying to find reasons for
unstable results of some ODE simulation or identification packages.” (L.-F. Pau,
Computing Reviews, November, 2015)