Pythonic Geodynamics

Implementations for Fast Computing
 
 
Springer (Verlag)
  • erschienen am 3. August 2018
 
  • Buch
  • |
  • Softcover
  • |
  • 244 Seiten
978-3-319-85725-1 (ISBN)
 
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 learn by experimenting and experiencing, not by theory.
Softcover reprint of the original 1st ed. 2018
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 6 s/w Abbildungen, 40 farbige Abbildungen
  • |
  • 40 Illustrations, color; 6 Illustrations, black and white; XVI, 227 p. 46 illus., 40 illus. in color.
  • Höhe: 235 mm
  • |
  • Breite: 155 mm
  • |
  • Dicke: 13 mm
  • 376 gr
978-3-319-85725-1 (9783319857251)
10.1007/978-3-319-55682-6
weitere Ausgaben werden ermittelt
Bird's eye view.- Visualization.- Fast Python: NumPy and Cython.- Mechanics I: Kinematics.- Mechanics II: Newtonian Dynamics.- Insights on the physics of Stokes Flow.- Lagrangian Transport.- Operator Formulation.- Laplacian Operator and Diffusion.- Beyond Linearity.- Trees, Particles and Boundaries.- Applications to Geodynamics.- The future.

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