Applied Math Seminar – Ali Pakniyat (Department of Mechanical Engineering, The University of Alabama)
346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United StatesTitle: Dualities in optimal control theory Abstract: Duality is a mathematical principle which, when it emerges, signifies the intrinsic relations between two distinct concepts, theorems or structures. In this talk, I will
Colloquium – Hailong Dao (University of Kansas)
346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United StatesTitle: Fractals and Syzygies Abstract: Syzygies are objects invented and utilized by David Hilbert in 1890 to study relations among polynomial equations, and have played a big role in the
NSA Talk with Daphanie Nisbeth
302 Gordon Palmer HallAWM is co-sponsoring a talk given by Daphanie Nisbeth from the NSA. The talk will be on Tuesday, September 27th, at 4:30 pm in Gordon Palmer Hall 301-302.Please see the
Analysis Seminar – Atanas Stefanov
231 Gordon Palmer HallTitle: On the long term dynamics of the Landau-DeGennes gradient flow Abstract: We study the gradient flow of the Landau-deGennes energy functionals, in the physically relevant spatial dimensions $d=2,3$. We
Registration for Spring 2023 Begins
Find the full UA Academic Calendar on the University Registrar’s website.
Yellowhammer Network of Women in Mathematical Sciences Conference
Bryant Conference Center 240 Paul W Bryant DRive, Tuscaloosa, AL, United StatesColloquium – Teresa Portone, Sandia National Laboratories
346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United StatesAWM Lunch and Learn with Teresa Portone, Sandia National Laboratories
302 Gordon Palmer HallPi Mu Epsilon Talk – Teresa Portone, Sandia National Laboraties
301 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United StatesApplied Math Seminar – Teresa Portone, Sandia National Laboratories
346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United StatesTitle: Quantifying model-form uncertainty with an application to subsurface transport Abstract: Computational models are increasingly used to make predictions affecting high-consequence engineering design and policy decisions. However, incomplete information about