Download computer tutorials in PDF

Solving PDEs in Python: The FEniCS Tutorial I

This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, including the Poisson equation, the equations of linear elasticity, the incompressible Navier–Stokes equations, and systems of nonlinear advection–diffusion–reaction equations, it guides readers through the essential steps to quickly solving a PDE in FEniCS, such as how to define a finite variational problem, how to set boundary conditions, how to solve linear and nonlinear systems, and how to visualize solutions and structure finite element Python programs.

This book is open access under a CC BY license.

Pages : 146 pages
Size : PDF
Downloads: 22
Created: 2020-08-30
License: CC BY 4.0 and Open Access
Author(s): Hans Petter Langtangen (Author), Anders Logg (Author)

Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263

Download file

Others related eBooks about Solving PDEs in Python: The FEniCS Tutorial I

Think Python: An Introduction to Software Design

Python for Software Design is a concise introduction to software design using the Python programming language. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like r

Hands-on Python Tutorial

Python is a widely used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C. The language provides constructs intended to enable

Python in Hydrology

This book is written for learning Python using its applications in hydrology. The book covers the basic applications of hydrology, and also the advanced topic like use of copula.

Fast Lane to Python

This book aims to enable the reader to quickly acquire a Python foundation. The material particularly feel quite comfortable to anyone with background in an object-oriented programming (OOP) language such as C++ or Java.