Books

Here’s a list of ebooks / lecture notes on various fields of Mathematics, Physics, Electrical Engineering, Computer Science, Economics, etc.

__________

Algebraic Geometry:

Algebraic Topology:

Algorithms & Complexity:

  • Algorithms
    Sanjoy Dasgupta, Christos Papadimitriou, Umesh Vazirani

Calculus:

Computer Arithmetic:

Control Theory:

Cryptography:

Differential Geometry:

Discrete Mathematics:

Dynamical Systems and ODEs:

Economics:

Electromagnetics:

Fourier and Harmonic Analysis:

Functional Analysis:

Game Theory & Combinatorial Games:

Geometry:

Graph Theory:

Imaging:

Information Theory:

Linear Algebra:

Machine Learning:

Markov Chains:

Mathematical Physics:

Miscellaneous:

Number Theory:

Optimization:

Partial Differential Equations:

Photonics:

Probability Theory:

Quantum Field Theory:

Quantum Mechanics:

Real Analysis:

Representation Theory:

Set Theory:

Signal Processing:

Statistics:

Statistical Mechanics:

Stochastic Processes:

Topology:

__________

If you find any typos or broken links, please let me know. To the best of my knowledge, all the books / lecture notes above were willingly made available by their authors. If you find evidence of copyright infringement, please inform me immediately.

3 Responses to “Books”

  1. anonymous Says:

    You forgot to add the books by Elias Zakon on Real Analysis and Number Theory.

    Awesome list btw!

  2. Marco Taboga Says:

    Maybe you’d like to add this free digital textbook on probability theory to your database:

    http://www.statlect.com/fndprb.htm

    Regards,

    Marco

  3. Yaroslav Bulatov Says:

    Here’s a few more legal ebooks — McCallaugh’s Tensor Methods in Statistics shows how to handle variables with more than pairwise interactions, Jaynes PROBABILITY THEORY: THE LOGIC OF SCIENCE is the bible of maximum entropy methods, Abramowitz / Stegun’s Handbook of Mathematical Functions is the go-to book for any formula involving special functions, Gallier’s Discrete Mathematics has an advanced and accessible overview of combinatorial counting, Durrett’s Probability: Theory and Examples is very densely (in a good way) filled with formulas, inequalities and facts relating to probability.

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