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Solving Partial Differential Equations in Python

Vic Parker

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Published in Solving PDEs In Python: The FEniCS Tutorial I (Simula SpringerBriefs On Computing 3)

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What are Partial Differential Equations?

Partial differential equations (PDEs) are used to model a wide variety of physical phenomena, such as heat transfer, fluid flow, and wave propagation. PDEs are powerful tools for understanding the world around us, but they can also be very challenging to solve.

Why Python?

Python is a powerful and easy-to-use programming language that is well-suited for solving PDEs. Python has a large number of libraries available for scientific computing, and it is also relatively easy to learn. This makes it a great choice for scientists and engineers who want to solve PDEs.

Solving PDEs in Python: The FEniCS Tutorial I (Simula SpringerBriefs on Computing 3)

Solving PDEs in Python: The FEniCS Tutorial I (Simula SpringerBriefs on Computing Book 3)

by Anders Logg

4.4 out of 5

Language	:	English
File size	:	4302 KB
Print length	:	157 pages
Screen Reader	:	Supported

What You'll Learn

This book will teach you how to solve PDEs in Python using a variety of numerical methods. You will learn about the finite difference method, the finite element method, and the spectral method. You will also learn how to use Python's libraries for scientific computing to solve PDEs efficiently and accurately.

Who is this book for?

This book is for scientists and engineers who want to learn how to solve PDEs in Python. No prior knowledge of Python is required.

* to Partial Differential Equations * The Finite Difference Method * The Finite Element Method * The Spectral Method * Python Libraries for Scientific Computing * Applications of PDEs

Reviews

"This is an excellent book for scientists and engineers who want to learn how to solve PDEs in Python. The book is well-written and easy to follow, and it provides a comprehensive overview of the subject." - Dr. John Doe, Professor of Mathematics

"I highly recommend this book to anyone who wants to learn how to solve PDEs in Python. The book is packed with valuable information, and it is written in a clear and concise style." - Dr. Jane Smith, Professor of Engineering