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If you make use of this material, you may credit the authors as follows:

Langtangen Hans Petter and Logg Anders, "Solving PDEs in Python", Springer Nature, 2016, DOI: 10.1007/978-3-319-52462-7, License: http://creativecommons.org/licenses/by/4.0/

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.

Keywords

Computational Science And Engineering, Algorithms, Visualization, Mathematical Software, Numerical Analysis, Software Engineering/programming And Operating Systems, Data And Information Visualization, Software Engineering, Finite Element, Fenics, Partial Differential Equations, Python, Simulation, Open Access, Maths For Scientists, Combinatorics & Graph Theory, Mathematical & Statistical Software, Operating Systems

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