SIAM Central States Section (CSS)

Computational and Applied Mathematics Forum

 

The SIAM CSS Computational and Applied Mathematics Forum meets on Wednesday at 3:30-4:30pm CST (alternative time Friday 3:30-4:30pm CST) via Zoom. For more information about this forum, please contact Ying Wang and Alex Grigo.

 

The Zoom link for the forum is https://oklahoma.zoom.us/j/96270425796?pwd=K3djTHg5U25kdWFRcGtISHhFcDFqUT09

(Meeting ID: 962 7042 5796   Passcode: 03939463)

 

 

   Spring 2023

Date

Speaker

Affiliation

Title/Abstract

Remark

Feb 24

Chi-Wang Shu

Brown University

Stability of time discretizations for  semi-discrete high order schemes for time-dependent PDEs

Recording

March 3

Eitan Tadmor

University of Maryland

Swarm-Based Gradient Descent Method for Non-Convex Optimization

No Recording

March 10

Zhihong Jeff Xia

Northwestern University

A reformulated KAM theorem and its applications

Recording

March 15

Spring Break

 

 

 

March 22

Hong Qian

University of Washington

Toward a New Mathematical Foundation of Statistical Thermodynamics

Recording

March 29

Leo Rebholz

Clemson University

Anderson acceleration for nonlinear solvers

Recording

April 5

Xiaobing Feng

University of Tennessee

A New Theory of Fractional Calculus and Fractional Sobolev Spaces and Applications

Recording

April 26

Chun Liu

Illinois Institute of Technology

Active Fluids and Applications: An Energetic Variational Approach

No Recording

May 17

Chiu-Yen Kao

Claremont McKenna College

Geometric Optimization Involving Partial Differential Equations

No Recording

May 24

James Nagy

Emory University

Numerical Methods for Large-Scale Ill-Conditioned Linear Systems

Recording

June 9

Albert Chern

UCSD

Geometric Measure Theory for Convexifying and Compactifying Computational Problems

Recording

June 21

Ronen Basri

Weizmann Institute of Science

On the Connection between Deep Neural Networks and Kernel Methods

Recording

 

Summer Break

 

 

 


 

   Fall 2023

   This semester, we will start with a week-long workshop during the week of 9/25 -- 9/29.

Date/Time

Speaker

Affiliation

Title/Abstract

Remark

Sep 25

9-10am

Hongkun Zhang

U Mass Amherst

Machine learning of Hamiltonian dynamical systems

Recording

 

Sep 26

2:30-3:30pm

Xingjie Li

UNC Charlotte

Coarse – Graining of stochastic system

Recording

 

Sep 27

9-10am

Yulong Lu

University of Minnesota

Two-scale gradient descent ascent dynamics finds mixed Nash equilibria of continuous games: A mean-field perspective

Recording

 

Sep 27

10:30-11:30

Haitao Fan

Georgetown University

Hysteretic conservation laws, with application to traffic jam analysis

Recording

 

Sept 27

12:30-1:30pm

Haiyan Wang

Arizona State

Combining network theory and partial differential equation to improve prediction of epidemic spreading

Recording

 

Sep 27

3-4pm

Yulong Xing

Ohio State University

High Order Structure Preserving Numerical Methods for Euler Equations with Gravitation

Recording

 

Sep 28

9-10am

Ilse Ipsen

North Carolina State

An Introduction to Randomized Matrix Computations

Recording

 

Sep 28

10-11am

Yongtao Zhang

Nortre Dame

High order WENO fast sweeping methods for sparse grids and for factored Eikonal equations

No

Recording

Sep 28

3:30-4:30pm

Dongbin Xiu

Ohio State University

Data Driven Modeling of Unknown Systems with Deep Neural Networks

Recording

Oct 25

10-11am

Elisabeth Ullmann

Technische Universität München

Particle dynamics for rare event estimation with PDE-based models

No

Recording

Nov 2

3:30-4:30pm

Michael Herty

RWTH Aachen University

Recent Results on Ensemble Methods For Optimization

Recording

Nov 8

3:30-4:30pm

Maryam Yashtini

Georgetown University

Counting Objects by Diffused Index: geometry-free and training-free approach

Recording

Nov 13

3:30-4:30pm

Daniel Reynolds

Southern Methodist University

Flexible Time Integration Methods for Multiphysics PDE Systems

Recording

Nov 29

3:30-4:30pm

Zhaojun Bai

UC Davis

Interplay between optimization on matrix manifolds  and matrix eigenvalue problems

Recording

Dec 6

3:30-4:30pm

Melvin Leok

UCSD

The Connections Between Discrete Geometric Mechanics, Information Geometry, Accelerated Optimization and Machine Learning

Recording