Logo

Introduction to Dynamical Systems: A Hands-on Approach with Maxima

Small book cover: Introduction to Dynamical Systems: A Hands-on Approach with Maxima

Introduction to Dynamical Systems: A Hands-on Approach with Maxima
by


ISBN/ASIN: 9729939608
Number of pages: 43

Description:
In this book we explore some topics on dynamical systems, using an active teaching approach, supported by computing tools and trying to avoid too may abstract details. The subject of this book on dynamical systems is at the borderline of physics, mathematics and computing.

Home page url

Download or read it online for free here:
Download link
(450KB, PDF)

Similar books

Book cover: The Hopf Bifurcation and Its ApplicationsThe Hopf Bifurcation and Its Applications
by - Springer
The goal of these notes is to give a reasonably complete, although not exhaustive, discussion of what is commonly referred to as the Hopf bifurcation with applications to specific problems, including stability calculations.
(8167 views)
Book cover: Geometrical Theory of Dynamical SystemsGeometrical Theory of Dynamical Systems
by - arXiv
This text is a slightly edited version of lecture notes for a course to undergraduate Mathematics and Physics students. Contents: Examples of Dynamical Systems; Stationary and Periodic Solutions; Local Bifurcations; Introduction to Chaotic Dynamics.
(5770 views)
Book cover: Stability Analysis via Matrix Functions MethodStability Analysis via Matrix Functions Method
by - Bookboon
The monograph presents a generalization of the well-known Lyapunov function method and related concepts to the matrix function case within the framework of systematic stability analysis of dynamical systems (differential equations).
(4161 views)
Book cover: Data Assimilation: A Mathematical IntroductionData Assimilation: A Mathematical Introduction
by - arXiv.org
This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation. Authors develop a framework in which a Bayesian formulation of the problem provides the bedrock for the derivation and analysis of algorithms.
(480 views)