The 2017 Linear Algebra Workshop was offered as part of the PI4 program. The goal of the workshop was to review and learn some advanced linear algebra with an eye towards applications and the Computational Bootcamp, which ran immediately after this workshop.
What is the format of the workshop?
Students work in groups through the worksheets (see files below). Informal presentations and discussions on the most important problems occur throughout the day. The style is informal, with students working in a collaborative environment.
How are the worksheets structured?
Each day’s worksheet contains a list of definitions, theorems, and exercises (about 40 each day). Some of the problems were modified from those in the references, while others are problems written for this working group.
- Day 1 Worksheet (tex file, tex label index, pdf file)
Projections and the Gram-Schmidt Process
Linear Models: Regression
- Day 2 Worksheet (tex file, tex label index, pdf file)
Singular Value Decomposition
- Day 3 Worksheet (tex file, tex label index, pdf file)
Principal Component Analysis and Dimensional Reduction
Brief look at Markov Chains
Duals and annihilators
Some multilinear algebra
The “tex label index” files are useful when editing the tex files, as they list the labels used in the tex code.
These Linear Algebra Workshop materials may be freely used by others. We ask that when materials are re-used, the following statement be included:
These materials were created by Stefan Klajbor Goderich at the University of Illinois, with support from National Science Foundation grant DMS 1345032 “MCTP: PI4: Program for Interdisciplinary and Industrial Internships at Illinois.”