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Parallel Spectral Numerical Methods

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This book is intended for intermediate readers.

Table of Contents

Chapter Contents

  1. Acknowledgments
  2. Overview
  3. Finite Precision Arithmetic
  4. Separation of Variables
  5. Motivation for Numerical Methods
  6. Timestepping
  7. One-Dimensional Discrete Fourier Transforms
  8. Finding Derivatives using Fourier Spectral Methods
  9. Examples in Matlab and Python
  10. Nonlinear Ordinary Differential Equations and Iteration
  11. Fortran Programs
  12. Introduction to Parallel Programming
  13. The Cubic Nonlinear Schrodinger Equation
  14. The Two- and Three-Dimensional Navier-Stokes Equations
  15. The Klein-Gordon Equation
  16. Maxwell's Equations
  17. GPU programs for Fourier pseudospectral simulations of the Navier-Stokes, Cubic Nonlinear Schrodinger and sine Gordon equations
  18. Visualization with ParaView CoProcessing
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Programming Languages

  1. Matlab
  2. Python
  3. Fortran
  4. Fortran 77 Tutorial

Style Guide and Contributors

75% developed
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Last modified on 20 May 2013, at 13:30
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