Logo

An Introduction to Dynamical Systems and Chaos

Small book cover: An Introduction to Dynamical Systems and Chaos

An Introduction to Dynamical Systems and Chaos
by

Publisher: LDEO
Number of pages: 67

Description:
This tutorial will develop the basic ingredients necessary for modeling and understanding simple (and not so simple) non-linear dynamical systems. The goal of these exercises are to demonstrate you that you can develop significant insight into the behavior of complicated non-linear systems with just a little math, a little art and a little modeling software.

Home page url

Download or read it online for free here:
Read online
(online html)

Similar books

Book cover: Dynamical Systems: Analytical and Computational TechniquesDynamical Systems: Analytical and Computational Techniques
by - InTech
There has been a considerable progress made during the recent past on mathematical techniques for studying dynamical systems. This progress is due to our increasing ability to mathematically model physical processes and to analyze and solve them.
(2321 views)
Book cover: Lectures on Topics In One-Parameter Bifurcation ProblemsLectures on Topics In One-Parameter Bifurcation Problems
by - Tata Institute of Fundamental Research
This set of lectures gives a synthetic exposition for the study of one-parameter bifurcation problems. By this, we mean the analysis of the structure of their set of solutions through the same type of general arguments in various situations.
(5505 views)
Book cover: An Introduction to Quantum ChaosAn Introduction to Quantum Chaos
by - arXiv
Nonlinear dynamics (''chaos theory'') and quantum mechanics are two of the scientific triumphs of the 20th century. The author gives a brief review of the origin and fundamentals of both quantum mechanics and nonlinear dynamics.
(8283 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.
(1872 views)