readings
Personal record of my (often messy and informal) attempts on self-learning various topics outside college coursework. "Complete" readings do not mean that I have read the book from cover to cover but rather that I was satisfied with moving on to the next topic. I might return to them upon reassessment, so it might be more fitting to call them "dormant." Finally, most resources here are not considered serious efforts at studying these topics, although some are indeed closely related to my academic interests.
Current Readings
- Algorithmic High-Dimensional Robust Statistics (Diakonikolas and Kane)
- Mathematics and Computation (Wigderson)
- Approximation Algorithms (V. Vazirani)
To Read (Someday?)
- Graph Spectra for Complex Networks (Mieghem)
- Linear Algebra Done Right (Axler)
- Principle of Mathematical Analysis (Rubin)
- How to Solve It (Polya)
- generatingfunctionology (Wilf)
- Concrete Mathematics (Graham)
“Complete” Readings
Computer Science
- Introduction to the Theory of Computation, Chapters 1-5 (Sipser)
- Randomized Algorithms, Chapters 1-4.3 (Motwani and Raghavan)
- Information Theory: A Tutorial Introduction, Complete (Stone)
- An Introduction to Information Theory: Symbols, Signals and Noise, Complete (Pierce)
- Machine Learning Refined, Chapters 1-5.1 (Watt, Borhani, and Katsaggelos)
- CODE: The Hidden Language of Computer Hardware and Software, Complete (Petzold)
Quantum Mechanics & Computation
- A Modern Approach to Quantum Mechanics, Chapters 1-7 (Townsend)
- Quantum Mechanics: The Theoretic Minumum, Complete (Friedman)
- Berekley CS191 Recording, Lecture 1-12 (U. Vazirani)
Mathematics
- Abstract Algebra, Chapters 1-3 (Hungerford)
- Fourier Analysis: An Introduction, Chapters 1-3 (Stein & Shakarchi)
- Inside Interesting Integrals, Complete (Nahin)
- Differential Equations for Engineers, Lectures 1-42 (Chasnov)