Math Department
Colloquium – Bo Li, University of California, San Diego
302 Gordon Palmer HallTitle: 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 HallTitle: 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
Algebra/Topology Seminar – Andrew McCullough, Georgia Institute of Technology
230 Gordon Palmer Hall 505 Hackberry Lane, AL, United StatesMath Ed Seminar
234 Gordon Palmer Hall AL, United StatesApplied Math Seminar – Qin Wang, University of Alabama
302 Gordon Palmer HallTitle: 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
Analysis Seminar – John Oliver MacLellan
230 Gordon Palmer Hall 505 Hackberry Lane, AL, United StatesSpeaker: John-Oliver MacLellan Title: Necessity of Two Weight Ap for L^p Boundedness of Singular Integral Operators Abstract: The goal of this talk is to investigate necessary conditions for a singular integral operator to map L^p(v)-> L^p(u). I will review the classical results for the maximal operator and Hilbert transform and then talk about more recent
Colloquium – Loukas Grafakos, University of Missouri
302 Gordon Palmer HallABSTRACT flyer - Loukas Grafakos
Applied Math Seminar – Xiaojing Ye, Georgia State University
302 Gordon Palmer HallTitle: Decentralized consensus optimization on networks with delayed and stochastic gradients Abstract: Decentralized consensus optimization has extensive applications in many emerging big data, machine learning, and sensor network problems. In decentralized computing, nodes in a network privately hold parts of the objective function and need to collaboratively solve for the consensual optimal solution of the