Overview
- Hands-on approach, with Python examples and practical exercises
- Covers visualization in 2D and 3D, NumPy Arrays, MPI, Jupyter Notebooks
- Diverse numerical techniques: Lagrangian, Particles in Cell, Tree Codes, Boundary Elements
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Earth System Sciences (LNESS)
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Table of contents (13 chapters)
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Front Matter
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Introduction to Scientific Python
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Front Matter
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Second Part: Mechanics
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Front Matter
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Lattice Methods
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Front Matter
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Advanced Techniques
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Front Matter
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Back Matter
Keywords
About this book
This book addresses students and young researchers who want to learn to use numerical modeling to solve problems in geodynamics. Intended as an easy-to-use and self-learning guide, readers only need a basic background in calculus to approach most of the material. The book difficulty increases very gradually, through four distinct parts. The first is an introduction to the Python techniques necessary to visualize and run vectorial calculations. The second is an overview with several examples on classical Mechanics with examples taken from standard introductory physics books. The third part is a detailed description of how to write Lagrangian, Eulerian and Particles in Cell codes for solving linear and non-linear continuum mechanics problems. Finally the last one address advanced techniques like tree-codes, Boundary Elements, and illustrates several applications to Geodynamics. The entire book is organized around numerous examples in Python, aiming at encouraging the reader to le
arn by experimenting and experiencing, not by theory.Authors and Affiliations
Bibliographic Information
Book Title: Pythonic Geodynamics
Book Subtitle: Implementations for Fast Computing
Authors: Gabriele Morra
Series Title: Lecture Notes in Earth System Sciences
DOI: https://doi.org/10.1007/978-3-319-55682-6
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-55680-2Published: 02 August 2017
Softcover ISBN: 978-3-319-85725-1Published: 03 August 2018
eBook ISBN: 978-3-319-55682-6Published: 01 August 2017
Series ISSN: 2193-8571
Series E-ISSN: 2193-858X
Edition Number: 1
Number of Pages: XVI, 227
Number of Illustrations: 6 b/w illustrations, 40 illustrations in colour
Topics: Geophysics/Geodesy, Quantitative Geology, Mathematical Applications in the Physical Sciences