This book provides qualitative and quantitative methods to analyze and
better understand phenomena that change in space and time. An innovative
approach is to incorporate ideas and methods from dynamical systems and
equivariant bifurcation theory to model, analyze and predict the
behavior of mathematical models. In addition, real-life data is
incorporated in the derivation of certain models. For instance, the
model for a fluxgate magnetometer includes experiments in support of the
model.
The book is intended for interdisciplinary scientists in STEM fields,
who might be interested in learning the skills to derive a mathematical
representation for explaining the evolution of a real system. Overall,
the book could be adapted in undergraduate- and postgraduate-level
courses, with students from various STEM fields, including: mathematics,
physics, engineering and biology.