Logo

Dynamical Systems: Analytical and Computational Techniques

Small book cover: Dynamical Systems: Analytical and Computational Techniques

Dynamical Systems: Analytical and Computational Techniques
by

Publisher: InTech
ISBN-13: 9789535130161
Number of pages: 272

Description:
There has been a considerable progress made during the recent past on mathematical techniques for studying dynamical systems that arise in science and engineering. This progress has been, to a large extent, due to our increasing ability to mathematically model physical processes and to analyze and solve them, both analytically and numerically.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: Discrete Dynamical SystemsDiscrete Dynamical Systems
by - Bookboon
This book covers important topics like stability, hyperbolicity, bifurcation theory and chaos, topics which are essential to understand the behavior of nonlinear discrete dynamical systems. The theory is illuminated by examples and exercises.
(3237 views)
Book cover: Ordinary Differential Equations and Dynamical SystemsOrdinary Differential Equations and Dynamical Systems
by - Universitaet Wien
This book provides an introduction to ordinary differential equations and dynamical systems. We start with some simple examples of explicitly solvable equations. Then we prove the fundamental results concerning the initial value problem.
(10552 views)
Book cover: The Chaos HypertextbookThe Chaos Hypertextbook
by
This book is written for anyone with an interest in chaos, fractals, non-linear dynamics, or mathematics in general. It's a moderately heavy piece of work, requiring a bit of mathematical knowledge, but it is definitely not aimed at mathematicians.
(8736 views)
Book cover: Extremes and Recurrence in Dynamical SystemsExtremes and Recurrence in Dynamical Systems
by - arXiv
This book provides a comprehensive introduction for the study of extreme events in the context of dynamical systems. It provides an overview of the area, underlining its relevance for mathematics, natural sciences, engineering, and social sciences.
(873 views)