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Analysis Seminar – José María Martell (Instituto de Ciencias Matematicas, Madrid Spain)

230 Gordon Palmer Hall 505 Hackberry Lane, AL, United States

Title: Understanding BMO and VMO using elliptic systems in the upper-half space Abstract: Harmonic Analysis plays a fundamental role in the study of boundary value problems for elliptic operators. In the simplest case of the Laplacian in the upper half-space, the Dirichlet boundary value problem with data in BMO (i.e., having bounded mean oscillation) is solved

Colloquium – Kyungyong Lee, University of Nebraska-Lincoln

Topic:  Introduction to cluster algebras Abstract: The theory of cluster algebras is one of the most mathematically well-studied areas in mathematical physics. Since its discovery in 2001, it has been shown that cluster algebras are related to diverse areas of mathematics such as algebraic geometry, commutative algebra, knot theory, total positivity, quiver representations, string theory, statistical

Colloquium – Bo Li, University of California, San Diego

302 Gordon Palmer Hall

Title:  Predict the Ligand-Receptor Binding/Unbinding Kinetics with the Variational Implicit-Solvent Model and the String Method Abstract:  The ligand-receptor binding/unbinding is a complex biophysical process in which water plays a critical role. To understand the fundamental mechanisms of such a process, we have developed a new and efficient approach that combines our level-set variational implicit-solvent model

Applied Math Seminar – Wei Zhu, University of Alabama

302 Gordon Palmer Hall

Title: A lower-order image denoising model for staircase reduction Abstract: In this talk, we will discuss a total-variation based lower-order image denoising model that is able to reduce the well-known staircasing phenomenon possessed by the Rudin-Osher-Fatemi model. To minimize the proposed variational model, we employ augmented Lagrangian method (ALM). Convergence analysis is established for the

Math Ed Seminar

234 Gordon Palmer Hall AL, United States

Applied Math Seminar – Qin Wang, University of Alabama

302 Gordon Palmer Hall

Title: Sufficient dimension reduction for high dimensional data Abstract: The high dimensional data generated from modern scientific discoveries introduces unique challenges to statistical modeling. Sufficient dimension reduction (SDR) is a useful tool to bridge the gap through projection subspace recovery. In this study, a new formulation is proposed based on the Hellinger integral of order

Math Ed Seminar

234 Gordon Palmer Hall AL, United States