Notes on books I'm currently studying
 
 
 
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README.md

bookshelf

A collection on the study of the books listed below. I aim to use Lean when possible (with respect to my current level of ability) and fallback to LaTeX when not.

  • Apostol, Tom M. Calculus, Vol. 1: One-Variable Calculus, with an Introduction to Linear Algebra. 2nd ed. Vol. 1. 2 vols. Wiley, 1991.
  • Avigad, Jeremy. Theorem Proving in Lean, n.d.
  • Axler, Sheldon. Linear Algebra Done Right. Undergraduate Texts in Mathematics. Cham: Springer International Publishing, 2015.
  • Cormen, Thomas H., Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. Introduction to Algorithms. 3rd ed. Cambridge, Mass: MIT Press, 2009.
  • Enderton, Herbert B. A Mathematical Introduction to Logic. 2nd ed. San Diego: Harcourt/Academic Press, 2001.
  • Gries, David. The Science of Programming. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981.
  • Gustedt, Jens. Modern C. Shelter Island, NY: Manning Publications Co, 2020.
  • Ross, Sheldon. A First Course in Probability Theory. 8th ed. Pearson Prentice Hall, n.d.
  • Smullyan, Raymond M. To Mock a Mockingbird: And Other Logic Puzzles Including an Amazing Adventure in Combinatory Logic. Oxford: Oxford university press, 2000.

Documentation

To generate Lean documentation, we use bookshelf-docgen. Refer to this project on prerequisites and the run the following to build and serve files locally:

> lake build Bookshelf:docs
> lake run server

This assumes you have python3 available in your $PATH. To change how the server behaves, refer to the .env file located in the root directory of this project.