302 Gordon Palmer Hall
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
Colloquium – Loukas Grafakos, University of Missouri
302 Gordon Palmer HallABSTRACT flyer - Loukas Grafakos
Applied 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
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
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 – Husheng Li, University of Tennessee, Knoxville
302 Gordon Palmer HallTitle: Data Driven Quickest Change Detection: In the Spirit of Kullback, Kolmogorov and Shannon Abstract: Quickest change detection is to detect the unknown change of distribution of random process, which has a wide spectrum of applications in practice such as signal processing, financial data analysis and power grid operation, et al. In traditional quickest change
Colloquium – Yuanzhen Shao, Georgia Southern University
302 Gordon Palmer HallTitle: Singular Manifold Theory and Its Applications Abstract: The aim of this talk is to introduce the concept of singular manifolds, which can describe various kinds of geometric and analytic singularities in a unified way, and then my recent work on the partial differential equation theory over singular manifolds will be presented. Based on this theory, I will investigate several linear and nonlinear parabolic equations arising from geometric analysis and applied sciences. Emphasis will be placed on geometric flows with “bad” initial metrics.
Applied Math Seminar – Shan Zhao, University of Alabama
302 Gordon Palmer HallTitle: An overview of numerical algorithms for the Poisson-Boltzmann equation in biomolecular electrostatics Abstract: The Poisson-Boltzmann Equation (PBE) is a widely used implicit solvent model for the electrostatic analysis of solvated biomolecules. The numerical solution of the PBE is known to be challenging, due to the consideration of discontinuous coefficients, complex geometry of protein structures,