Ian Hawke
IanHawke
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Some open material relating to the Southampton Numerical Methods course
A toy Python Adaptive Mesh Refinement code
Illustrating how to solve the Riemann problem for conservation laws
Material for the (remote) ICTS workshop on Gravitation Wave Astrophysics
Material for the Photovoltaics CDT training in 2016
Repositories
50Some open material relating to the Southampton Numerical Methods course
J2 plasticity in relativity
A toy Python Adaptive Mesh Refinement code
Numerical Relativity introduction (github version)
Material for Einstein Toolkit School in Trento, 2016
No description provided.
Teaching material for the EPSRC Centre for Doctoral Training in "Mathematics for the Future Climate". Primarily for the Numerical Methods course.
No description provided.
Multifluid Electromagneto-HydroDynamics
An introduction to numerical methods for astrophysical hydrodynamics
Example Apparent Horizon finder
Material for the (remote) ICTS workshop on Gravitation Wave Astrophysics
Metals, Magnets, and Miscellaneous Materials: Blog Introduction to Computational Condensed Matter
Toy Adaptive Mesh Refinement code
Illustrating how to solve the Riemann problem for conservation laws
Introduction to Mathematical Computing with Python and Jupyter
No description provided.
Python scripts for analytically solving simple Riemann Problems.
Simple code for time domain simulations of the two-stream instability in relativistic multifluids.
Material for the Photovoltaics CDT training in 2016
A brief and practical introduction to the solution of hyperbolic conservation laws
A simple python-based tutorial on computational methods for hydrodynamics
A workshop for faculty on "Hybrid to online with Jupyter-first course development"
No description provided.
Simple one-dimensional examples of various hydrodynamics techniques
paper repo for Maestro and Castro code papers
Reproducible simulation from images
Potential talk on teaching
Introduction to Python for MSc OR students with VBA background
Training for helpers on the MATH1058 OR with Computing course, Python section