Boca Raton: CRC Press, 2020. — 404 p. — (Chapman & Hall/CRC Numerical Analysis and Scientific Computing). — ISBN: 0815392613.
Modelling with Ordinary Differential Equations: A Comprehensive Approach aims to provide a broad and self-contained introduction to the mathematical tools necessary to investigate and apply
ODE models. The book starts by establishing the existence of solutions in various settings and analysing their
stability properties. The next step is to illustrate modelling issues arising in the
calculus of variation and optimal control theory that are of interest in many applications. This discussion is continued with an introduction to
inverse problems governed by ODE models and to differential games. The book is completed with an illustration of
stochastic differential equations and the development of
neural networks to solve ODE systems. Many numerical methods are presented to solve the classes of problems discussed in this book.
Features:Provides insight into
rigorous mathematical issues concerning various topics, while discussing many different models of interest in different disciplines (biology, chemistry, economics, medicine, physics, social sciences, etc.).
Suitable for
undergraduate and graduate students and as an introduction for researchers in engineering and the sciences.
Accompanied by codes which allow the reader to apply the numerical methods discussed in this book in those cases where analytical solutions are not available.
Elementary solution methods for simple ODEs
Theory of ordinary differential equations
Systems of ordinary differential equations
Ordinary differential equations of order n
Stability of ODE systems
Boundary and eigenvalue problems
Numerical solution of ODE problems
ODEs and the calculus of variations
Optimal control of ODE models
Inverse problems with ODE models
Differential games
Stochastic differential equations
Neural networks and ODE problems
Appendix Results of analysis
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