ABC meetings TBD.
Each meeting we will discuss papers / books that are of interest to the group. The aim is to increase our understanding of concepts outside our areas of research.
Fall 2025
| Date | Topic | Title |
|---|---|---|
| October 21 | Xingjian Xu | TBD |
| November 4 | Xingjian Xu | TBD |
| November 14 | Umesha Wijeranthne | TBD |
Spring 2024
| Date | Topic | Title |
|---|---|---|
| January 25 | Modeling and Mathematical Biology | Agent-Based Modelling Reveals the Role of the Tumor Microenvironment on the Short-Term Success of Combination Temozolomide/Immune Checkpoint Blockade to Treat Glioblastoma |
Fall 2023
| Date | Topic | Title |
|---|---|---|
| September 28 | PDE/Bifurcation Points | Reduced order models for parametric bifurcation problems in nonlinear PDEs (Chapters 2, 3.1, and 7) |
| October 19 | Sobolev Spaces | University of California at Davis MAT201C Lecture Notes: Introduction to Sobolev Spaces |
| November 2 | Tensors | Tensor Decompositions and Applications |
| November 16 | Modeling | Modeling immunotherapy of the tumor – immune interaction |
2022-2023
- Alan Cromer, Stable solutions using the Euler approximation
- Marc Kac, Can One Hear the Shape of a Drum?
- David Austin, Malena I. Español, and Mirjeta Pasha, The Image Deblurring Problem: Matrices, Wavelets, and Multilevel Methods
- James Diffenderfer, Bhavya Kailkhura, Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
- Richard D. Neidinger, Introduction to Automatic Differentiation and MATLAB Object-Oriented Programming
- Atılım Güneş Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind, Automatic Differentiation in Machine Learning: a Survey