Readings and Lectures Notes

Week4 Reading

Lecture notes on Recurrences by Jessica Su (Stanford). You can get more Examples on Master Theorem. PDF

ETH Zürich, notes on spinchains. PDF

Convex Optimization by Stephen Boyd and Lieven Vandenberghes, Chapter 6. It is fairly technical, but it is informative. You can skip those formal definitions. PDF

Singular Value Decomposition and Principal Component Analysis, by Michael E. Wall1, Andreas Rechtsteiner, Luis M. Roc. Look at the graphical depiction in Fig.5.1 PDF

Direct Methods for Sparse Linear Systems by Timothy A. Davis. If you know MATLAB, you can look at it. PDF

terative Methods for Sparse Linear Systems by Yousef Saad. Chapter 1, a review on matrix operations. Chapter 3, sparse matrix. Link

Lecture Notes: Complexity, Data Structure, and Matrix Operation