Research Interaction and Training Seminars (RITS)
PDE and Data Control Seminar
We usually meet on Mondays from 10:45AM-11:45 AM (Eastern Time). If you are interested in joining, please fill out the Registration Form. For questions please contact Harbir Antil (hantil@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 Herberg | Introduction to Optimal Control with PDEs |
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| February 7, 2022 | Evelyn Herberg
Mohammed Alshehri | Machine Learning and Optimal Control
Function Spaces |
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| February 14, 2022 | Mohammed Alshehri | Function Spaces |
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| February 21, 2022 | Mohammed Alshehri | Function Spaces |
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| February 28, 2022 | Kiefer Green | Analysis and approximation of elliptic PDEs |
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| March 7, 2022 | Kiefer Green
Evelyn Herberg | Analysis and approximation of elliptic PDEs
Weak convergence |
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| March 21, 2022 | Evelyn Herberg | Weak convergence
Existence of optimal controls |
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| March 28, 2022 | Evelyn Herberg | Existence of optimal controls
Differentiability in Banach spaces |
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| April 4, 2022 | Evelyn Herberg | Adjoint operators
First-order necessary optimality conditions |
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| April 18, 2022 | Evelyn Herberg | First-order necessary optimality conditions
Formal Lagrange method |
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| April 25, 2022 | Evelyn Herberg | (Semismooth) Newton’s method |
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| May 2, 2022 | Harbir Antil | PDE Constrained Optimization: Implementation Aspects |
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| May 9, 2022 | Harbir Antil | PDE 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 Sayre | Distributions | |
| 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
| Date | Speaker | Topic | |
| September 1, 2020 | Deepanshu Verma | Intro 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.