Some recent papers based on Clawpack (with pointers to code).
One goal of Clawpack is to make it easier to archive computer codes to
accompany publications.
For more about this, see
Saving and Sharing
Results
and
other links on
Reproducible Research.
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High-Order Wave Propagation Algorithms for General Hyperbolic Systems
by D.I. Ketcheson, M. Parsani, and R.J. LeVeque.
Submitted, 2011.
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PetClaw: A scalable parallel nonlinear wave propagation solver for Python
by Amal Alghamdi, Aron Ahmadia, David I. Ketcheson, Matthew G. Knepley, Kyle
T. Mandli, and Lisandro Dalcin; submitted, 2011.
by D.I. Ketcheson, M. Parsani, and R.J. LeVeque.
Submitted to SISC, 2011.
- Tsunami modeling with adaptively refined finite volume methods
by R.J. LeVeque, D.L. George, and M.J. Berger
To appear in Acta
Numerica, 2011.
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Universality in the run-up of shock waves to the surface of a star
by C. Gundlach and R.J. LeVeque.
To appear in J. Fluid Mech., 2011.
- The GeoClaw software for depth-averaged flows with adaptive
refinement,
by M.J. Berger, D.L. George, R.J. LeVeque, and K.M. Mandli.
To appear in Advances in Water Resources, 2011.
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A Well-Balanced Path-Integral f-wave Method for
Hyperbolic Problems with Source Terms
by Randall J. LeVeque,
To appear in J. Scientific Computing 2010
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Logically Rectangular Finite Volume Methods with
Adaptive Refinement on the Sphere,
by M. J. Berger and D. A. Calhoun, and C. Helzel, and R. J. LeVeque
Phil. Trans. R. Soc. A 2009 367, 4483-4496.
doi: 10.1098/rsta.2009.0168
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Python Tools for Reproducible Research on Hyperbolic Problems
by R. J. LeVeque. Computing in Science and Engineering (CiSE) 11(2009), pp.
19-27. (Special issue on reproducible research.)