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  • © 2018

Pythonic Geodynamics

Implementations for Fast Computing

Authors:

  • 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)

  1. Front Matter

    Pages i-xvi
  2. Introduction to Scientific Python

    1. Front Matter

      Pages 1-1
    2. Bird’s Eye View

      • Gabriele Morra
      Pages 3-14
    3. Visualization

      • Gabriele Morra
      Pages 15-33
    4. Fast Python: NumPy and Cython

      • Gabriele Morra
      Pages 35-60
  3. Second Part: Mechanics

    1. Front Matter

      Pages 61-61
    2. Mechanics I: Kinematics

      • Gabriele Morra
      Pages 63-75
    3. Mechanics II: Newtonian Dynamics

      • Gabriele Morra
      Pages 77-91
    4. Insights on the Physics of Stokes Flow

      • Gabriele Morra
      Pages 93-104
  4. Lattice Methods

    1. Front Matter

      Pages 105-105
    2. Lagrangian Transport

      • Gabriele Morra
      Pages 107-128
    3. Operator Formulation

      • Gabriele Morra
      Pages 129-141
    4. Laplacian Operator and Diffusion

      • Gabriele Morra
      Pages 143-160
    5. Beyond Linearity

      • Gabriele Morra
      Pages 161-177
  5. Advanced Techniques

    1. Front Matter

      Pages 179-179
    2. Trees, Particles, and Boundaries

      • Gabriele Morra
      Pages 181-200
    3. Applications to Geodynamics

      • Gabriele Morra
      Pages 201-207
    4. The Future

      • Gabriele Morra
      Pages 209-216
  6. Back Matter

    Pages 217-227

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

  • Department of Physics and School of Geoscience, University of Louisiana at Lafayette, Lafayette, USA

    Gabriele Morra

Bibliographic Information

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access