Events

Applied Math Seminar – Dengfeng Sun, Purdue University

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Title: Improving the Convergence Rate of the Distributed Gradient Descent Method Abstract: This talk presents our recent work on the accelerated Distributed Gradient Descent (DGD) method for distributed optimization problems. We observed that the inexact convergence of the DGD algorithm can be caused by the inaccuracy in the consensus procedure in a distributed optimization setting.

Analysis Seminar – Khalid Said, University of Alabama

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Abstract In this presentation we examine some useful properties of the numerical range. We explore two dierent positions , generic and generalized generic positions. We show that two pairs of subspaces (M,N) and (M?;N?) are unitarily equivalent if M and N are subspaces of Cn in generic position by constructing a unitary operator. We establish

Applied Math Seminar – Xiang Ma, Grand View University

231 Gordon Palmer Hall

Applications of Atomic Force Microscope in Biological and Biomedical Research Abstract: In this seminar, two examples will be presented to illustrate how a modern instrument, atomic force microscope (AFM), can be applied to solve challenging problems in the biological and biomedical field. In the first example, AFM was used to perform nanoindentation on viruses to

AWM General Body Meeting

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Applied Math Seminar – Duy Nguyen (Marist College)

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Title : Nonparametric density estimation by B-spline duality Abstract: In this talk, we propose a new nonparametric density estimator derived from the theory of frames and Riesz bases. In particular, we propose the so-called bi-orthogonal density estimator based on the class of B-splines and derive its theoretical properties, including the asymptotically optimal choice of bandwidth.

Analysis Seminar – Simon Bortz (University of Washington)

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Title: Sobolev contractivity of the gradient flow maximal function Abstract:  In 2013, Carneiro and Svaiter showed that the heat flow maximal function is contractive in $\dot{W}^{1,2}(\mathbb{R}^n)$ for $W^{1,2}(\mathbb{R}^n)$ functions. In other words, if $K_t$ is the heat kernel then $u_*(x) = \sup_{t > 0} (K_t \ast |f|)(x)$ for some $f \in W^{1,2}(\mathbb{R}^n)$ then $\|\nabla u_*\|_{L^2(\mathbb{R}^n)}

Applied Math Seminar – Sergei V. Gleyzer, University of Alabama

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Title: The Interplay between Deep Learning and Physics Abstract: In my talk, I will discuss the interplay of deep learning and physics. I will focus on both foundational and applied topics, including examples of machine learning applications in high-energy physics. I will discuss interpretability, learning methodology, end-to-end learning, incorporation of physical laws in model building

Colloquium – Jianlin Xia (Purdue University)

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Topic:  Fast Solutions of Large Linear Systems and Eigenvalue Problems by Exploring Structures Abstract: Solving large linear systems and eigenvalue problems remains to be the key computational tasks in scientific computing, data processing, and engineering simulations. Practical numerical problems often introduce various structures into the matrix representations. In this talk, we show the existence of