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Welcome to the NCSU Randomized Numerical Analysis Research Training Group (RTG)!

Our interests lie in mathematical problems affected by one if not many sources of error: severe corruption of data, and the attendant need for regularization (converting a hopelessly  ill-posed problem into a well-posed one); statistical uncertainties from inference and modeling; high numerical sensitivity even to the tiniest disturbances (ill-conditioning); errors due to randomization; and finally errors caused by finite precision arithmetic. We seek to develop novel computational paradigms which have the power to tame these many sources of error. See What we do for more information.

We have provided some tutorial resources (notes, codes, and examples) regarding important problems in our field.

News:

• Graham Pash recently received his undergraduate degree from NCSU. Congratulations!
• Recent publications can be viewed here.