Course taught in IISc Bangalore by Prof. Kunal Chaudhury
Course Homepage: LAA 2024
These notes reference LADR at some places. LADR is Linear Algebra Done Right, 4th Edition, by Sheldon Axler.
Also See: IISc MTech AI Sem-1 Tips by Nirbhay Sharma
The original notes were handwritten ("scans"), and were later typeset with Claude into webpages. Prefer the "typeset" pages, check the "scan" for original notes.
| Chapter | Typeset | Original Scan |
|---|---|---|
| Ch2: Vector Spaces | typeset | scan |
| Ch3: Linear Transforms and Matrices | typeset | scan |
| Ch4: Inner-Product and Normed Spaces | typeset | scan |
| Ch5: Transforms on Inner Product Spaces | typeset | scan |
| Ch6: Operator and Matrix Norms | typeset | scan |
| Ch7: Trace and Determinant | typeset | scan |
| Ch8: Diagonalization | typeset | scan |
| Ch9: Eigen Decomposition | typeset | scan |
| Ch10: Singular Value Decomposition | typeset | scan |
Handwritten Notes, by Purva Parmar, MTech AI 2024-26 at IISc.
Disclaimer: I do not guarantee correctness, use your discretion. Some exercises, in earlier chapters mostly, would have incomplete answers.
Tools Used: Microsoft OneNote for notes, OneMore AddIn for export, Water CSS for styling this home page. The handwritten notes were later typeset with Claude.