Mathematics Colloquium 2014-2015
Friday, 2:30-3:30pm, 458 Campbell Hall, tea to follow.
(Unless otherwise noted)
(Unless otherwise noted)
Dec 5, TBAtba
Nov 21, TBAtba
Nov 14, TBAtba
Nov 7, Judy Day, Knoxvilletba
Oct 31, TBAtba
Oct 24, TBAtba
Oct 17, Logan Hoehn, Nipissing University, Ontariotba
Oct 10, TBAtba
Oct 3, TBAtba
Sept 26, TBAtba
Sept 19, TBAtba
Sept 12, Yi (Grace) Wang, Duketba
Sept 5, Ian Knowles, UABtba
Aug 29, TBAtba
June 27, Michael Brazell, WyomingSpecial Colloquium: Fri at 10:00-11:00am, CH 204
Title. 3D Mixed Element Discontinuous Galerkin with Shock Capturing and RANS
Abstract. A parallel high-order Discontinuous Galerkin method is developed for mixed elements to solve the Navier-Stokes equations. A PDE-based artificial viscosity equation is implemented to smooth and stabilize shocks. To solve this system of non-linear equations a Newton solver is implemented and preconditioned flexible-GMRES is used to solve the linear system arising from the Jacobian matrix. The preconditioners that are implemented include Jacobi relaxation, Gauss-Seidel relaxation, line implicit Jacobi, and ILU(0). A wide variety of simulations are performed to demonstrate the capabilities of the DG solver. The inviscid simulations include a p-adapted subsonic flow over a cylinder, a p=0 h-adapted hypersonic flow over a sphere, and a large scale p=2 simulation of an aircraft with artificial viscosity to stabilize the shock formed on the wing. Two hypersonic viscous flows of a cylinder and sphere are simulated and compared to the NASA code LAURA. The solution matches closely to LAURA and the shock becomes more resolved as the polynomial degree is increased. The heating rate on the surface matches closely to LAURA at p=3. In the case of turbulent flows the Reynolds Averaged Navier-Stokes (RANS) equations are solved. The new negative-Spalart-Almaras model is implemented and used to solve turbulent flow over a NACA 0012 wing, RAE2822 wing, and a multi-element 30P30N wing. Finally, the parallel scalability is tested and good speed up is obtained using up to 2048 processor cores. As the polynomial degree increases the scalability improves. Although, an ideal speedup was not shown this was contributed to load balancing. These simulations demonstrate the capability of the DG solver to handle strong shocks, RANS, complex geometry, hp-adaption, and parallel scalability.
This is joint work with Dimitri J. Mavriplis.
Figure. M=17.605, Re=376,930 flow over a cylinder, contours of artificial viscosity (left) and contours of Mach number (right)
June 13, Anna Vershynina, IQI, RWTH AachenSpecial Colloquium: Fri at 2:30-3:30pm, CH 458
Title. Universal computation by multi-particle quantum walk in 2D
Abstract. In this talk we discuss a model consisting of n spin-1/2 particles with nearest-neighbor interactions moving on a 2D lattice. We consider two questions: a time for finishing computation for one qubit and a time for finishing computation for the whole string of n qubits. We investigate the dependence on n and D of the time interval T such that the computation of one qubit or the whole string is finished in a random time in this interval T.
June 5, Marcus Marsh, Cal State SacramentoSpecial Colloquium: Thu at 2:45-3:45pm, CH 458
Title. Additivity (or not) of the Fixed Point Property
Abstract. Let each of X, Y, and X intersect Y be a continuum with the fixed point property (fpp).We say that "the fpp is additive for X and Y" if X union Y has the fpp. If G is some class of continua with the fpp, we say that "the fpp is additive for G" provided that whenever X, Y, and X intersect Y are in G, the fpp is additive for X and Y.
Question. For what classes G of continua is the fpp additive?
We discuss the history of this question, reviewing both positive and negative results. We end with recent examples of Hagopian and Marsh that show the fpp is not additive for the class of tree-like continua.