Computational Science
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David Ketcheson

Associate Professor of applied mathematics at KAUST. Some links to learn more about me:

In terms of computational science, my interests are mainly:

  • Numerical analysis of ODE and PDE discretizations
  • Numerical methods for hyperbolic PDEs
  • High performance computing and scalable algorithms
  • Scientific software development
  • Scientific computing in Python

I'm a lead developer of the PyClaw package, an extension of Clawpack, which is a finite volume solver for hyperbolic PDEs.

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Top posts (183) All Questions Answers | Votes Newest

90 Is it worthwhile to write unit tests for scientific research codes? Dec 3 '11
78 Is there a high quality nonlinear programming solver for Python? Nov 30 '11
45 Is it common not to use libraries for standard numerical algorithms, and why? Dec 2 '11
43 Is algorithmic analysis by flop-counting obsolete? Nov 30 '11
40 How to link code to publications Jan 12 '12
36 Venues for publishing papers that emphasize software Jan 12 '12
31 Why is local conservation important when solving PDEs? Nov 30 '11
29 Alternatives to Journal of Computational Physics Jul 19 '12
28 Strange oscillation when solving the advection equation by finite-difference with fully closed Neumann boundary conditions (reflection at boundaries) Mar 4 '13
24 Is it possible to use Octave to learn MATLAB programming? Jan 22 '12
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