Books

Exercise sets organized by textbook. Math, physics, CS, computer vision, robotics/AI, NLP, and EE books are tracked here — textbook problem sets and worked solutions appear in the chapter subfolders below as I work through them.

Math

• Linear Algebra Done Right — Axler
• Measure, Integration & Real Analysis — Axler
• Elementary Analysis — Ross
• Introduction to Topology — Mendelson
• Complex Analysis — Bak & Newman
• Numerical Linear Algebra — Trefethen & Bau
• Introduction to Probability — Bertsekas & Tsitsiklis
• Convex Optimization — Boyd & Vandenberghe
• Elementary Differential Geometry — Pressley
• A Book of Abstract Algebra — Pinter

Physics

• Introduction to Classical Mechanics — Morin
• Introduction to Electrodynamics — Griffiths
• Optics — Hecht

CS

• Algorithms — Dasgupta, Papadimitriou & Vazirani
• Introduction to the Theory of Computation — Sipser

Computer Vision

• Computer Vision: Algorithms and Applications — Szeliski

Robotics / AI

• Probabilistic Robotics — Thrun, Burgard & Fox
• Deep Learning — Goodfellow, Bengio & Courville

NLP

• Speech and Language Processing — Jurafsky & Martin

EE

• Signals and Systems — Oppenheim, Willsky & Nawab
• Discrete-Time Signal Processing — Oppenheim & Schafer
• Elements of Information Theory — Cover & Thomas