Description

With a step–by–step approach to solving ordinary differential equations (ODEs), Differential Equation Analysis in Biomedical Science and Engineering: Ordinary Differential Equation Applications with R successfully applies computational techniques for solving real–world ODE problems that are found in a variety of fields, including chemistry, physics, biology, and physiology. The book provides readers with the necessary knowledge to reproduce and extend the computed numerical solutions and is a valuable resource for dealing with a broad class of linear and nonlinear ordinary differential equations. The author s primary focus is on models expressed as systems of ODEs, which generally result by neglecting spatial effects so that the ODE dependent variables are uniform in space. Therefore, time is the independent variable in most applications of ODE systems. As such, the book emphasizes details of the numerical algorithms and how the solutions were computed. Featuring computer–based mathematical models for solving real–world problems in the biological and biomedical sciences and engineering. Differential Equation Analysis in Biomedical Science and Engineering: Ordinary Differential Equation Applications with R is an excellent reference for researchers, scientists, clinicians, medical researchers, engineers, statisticians, epidemiologists, and pharmacokineticists who are interested in both clinical applications and interpretation of experimental data with mathematical models in order to efficiently solve the associated differential equations. The book is also useful as a textbook for graduate–level courses in mathematics, biomedical science and engineering, biology, biophysics, biochemistry, medicine, and engineering.

More Details about Differential Equation Analysis In Biomedical Science And Engineering: Ordinary Differential Equation Applications With R

General Information  
Author(s)Schiesser
PublisherJohn Wiley
Edition1
ISBN9781118705483
Pages440
BindingHardcover
LanguageEnglish
Publish YearApril 2014