Events

Research Interaction and Training Seminars (RITS)

PDE and Data Control Seminar

We usually meet on Mondays at 1:30 pm (Eastern Time). If you are interested in joining, please fill out the Registration Form. For questions please contact Harbir Antil (hantil@gmu.edu) or Evelyn Herberg (eherberg@gmu.edu).

Spring 2022

The focus of Spring 2022 Semester will be on:

  • PDE Constrained Optimization
  • Sketching and Reduced Order Modeling
  • Machine Learning and Optimal Control
Date Speaker Topic
January 31, 2022 Evelyn HerbergIntroduction to Optimal Control with PDEs
February 7, 2022Evelyn Herberg
Mohammed Alshehri
Machine Learning and Optimal Control
Function Spaces

February 14, 2022Mohammed AlshehriFunction Spaces
February 21, 2022Mohammed AlshehriFunction Spaces
February 28, 2022Kiefer Green Analysis and approximation of elliptic PDEs
March 7, 2022Kiefer Green
Evelyn Herberg
Analysis and approximation of elliptic PDEs
Weak convergence

March 21, 2022Evelyn HerbergWeak convergence
Existence of optimal controls

March 28, 2022Evelyn HerbergExistence of optimal controls
Differentiability in Banach spaces

April 4, 2022Evelyn HerbergAdjoint operators
First-order necessary optimality conditions

April 18, 2022Evelyn HerbergFirst-order necessary optimality conditions
Formal Lagrange method

April 25, 2022Evelyn Herberg(Semismooth) Newton’s method
May 2, 2022Harbir AntilPDE Constrained Optimization: Implementation Aspects
May 9, 2022Harbir AntilPDE Constrained Optimization: Implementation Aspects

Spring 2021

The focus of Spring 2021 Semester will be on:

  • Reduced Order Modeling, Parameterized PDEs, and Optimization
  • Machine/Deep Learning and Reduced Order Modeling 
Date Speaker Topic
January 29, 2021 David SayreDistributions
February 5, 2021 David Sayre Distributions
February 12, 2021 David Sayre Fundamental Solution to Laplace Equation
February 19, 2021 David Sayre Sobolev Space H1(Ω)
February 26, 2021 David Sayre Cutoff and Mollification
March 5, 2021 David Sayre The Poisson problem

Fall 2020

The initial focus of Fall 2020 Semester will be on:

  • Mathematics of Deep Learning
  • Tensor Training and Compression with applications to UQ, Optimization problems, and learning

DateSpeakerTopic
September 1, 2020Deepanshu VermaIntro to Deep Learning
September 8, 2020 Deepanshu Verma Stochastic Gradient Descent
September 15, 2020 Deepanshu Verma Backpropagation and gradient updates
September 22, 2020 David Sayre  Convolutional Neural Network
September 29, 2020 Akwum Onwunta  Introduction to Tensors
October 6, 2020 Akwum Onwunta  Low-rank approximation of matrices and tensors
October 13, 2020 Akwum Onwunta  CP and Tucker decomposition
October 20, 2020 Akwum Onwunta  CP and Tucker decomposition
October 27, 2020 Akwum Onwunta  Intro to MATLAB Tensor Toolbox

For details on some of the previous seminars, please visit here.