Home
Random
Watchlist
Uploads
Settings
Log in
Parallel Spectral Numerical Methods
This book is intended for
intermediate
readers.
Table of Contents
Chapter Contents
Acknowledgments
Overview
Finite Precision Arithmetic
Separation of Variables
Motivation for Numerical Methods
Timestepping
One-Dimensional Discrete Fourier Transforms
Finding Derivatives using Fourier Spectral Methods
Examples in Matlab and Python
Nonlinear Ordinary Differential Equations and Iteration
Fortran Programs
Introduction to Parallel Programming
The Cubic Nonlinear Schrodinger Equation
The Two- and Three-Dimensional Navier-Stokes Equations
The Klein-Gordon Equation
Maxwell's Equations
GPU programs for Fourier pseudospectral simulations of the Navier-Stokes, Cubic Nonlinear Schrodinger and sine Gordon equations
Visualization with ParaView CoProcessing
↑Jump back a section
Programming Languages
Matlab
Python
Fortran
Fortran 77 Tutorial
Style Guide and Contributors
↑Jump back a section
Last modified on 20 May 2013, at 13:30