Speaker: Keegan Kang (Cornell University)
Presentation courtesy of Keegan Kang.
Abstract:
Running simulations to verify results is important in research, and usually you get to see pretty graphs and such in computational papers. We’ll cover some tips and tricks on what goes behind this process - modularization of code; debugging heuristics; making preliminary plots; optimizing large scale simulations and more.
Keegan has prepared some sample R programs:
He also has some code samples available on his GitHub.