I will *try* to collect my *notes* and *solutions* on math and physics, and links to them here.

- (Notes and) Solutions for The Geometry of Physics, by Theodore Frankel; pdf file; github repository: mathphysics
- (Notes and) Solutions for The Geometry of Physics, by Theodore Frankel; (main) LaTeX file; github repository: mathphysics
- directory for (Notes and) Solutions for The Geometry of Physics, by Theodore Frankel; (main) directory, since LaTeX file is split up into separate chapters for modularity; github repository: mathphysics
- (Notes and) Solutions for Mikio Nakahara’s Geometry, Topology, and Physics; LaTeX file; github repository: mathphysics
- (Notes and) Solutions for Mikio Nakahara’s Geometry, Topology, and Physics; pdf file; github repository: mathphysics

- Notes and Solutions to Ideals, varieties, and Algorithms by David A. Cox, John Little, Donal O’Shea; LaTeX file; github repository: mathphysics
- Notes and Solutions to Using Algebraic Geometry by David A. Cox, John Little, Donal O’Shea; (main) LaTeX file; github repository: mathphysics
- Algebraic Geometry with Sage Math/Python on jupyter notebook

## Open-source; PayPal only

From the beginning of 2016, I decided to cease all explicit crowdfunding for any of my materials on physics, math. I failed to raise *any* funds from previous crowdfunding efforts. I decided that if I was going to live in *abundance*, I must lose a scarcity attitude. I am committed to keeping all of my material **open-sourced**. I give all my stuff *for free*.

In the beginning of 2017, I received a very generous donation from a reader from Norway who found these notes useful, through *PayPal*. If you find these notes useful, feel free to donate directly and easily through **PayPal**, which won’t go through a 3rd. party such as indiegogo, kickstarter, patreon.

Otherwise, under the *open-source MIT license*, feel free to copy, edit, paste, make your own versions, share, use as you wish.

### Algebraic Geometry

#### (symbolic computational) Algebraic Geometry with Sage Math on a jupyter notebook

cf.

https://github.com/ernestyalumni/mathphysics/blob/master/AG_sage.ipynb

http://nbviewer.jupyter.org/github/ernestyalumni/mathphysics/blob/master/AG_sage.ipynb

I did a Google search for “Sage Math groebner” and I came across Martin Albrecht’s slides on “Groebner Bases” (22 October 2013). I implemented fully on Sage Math all the topics on the slides up to the F4 algorithm. In particular, I implemented in Sage Math/Python the generalized division algorithm, and Buchberger’s Algorithm with and without the first criterion (I did plenty of Google searches and couldn’t find someone who had a working implementation on Sage Math/Python). Another bonus is the interactivity of having it on a jupyter notebook. If this jupyter notebook helps yourself (reader), students/colleagues, that’d be good, as I quickly picked up the basic and foundations of using computational algebraic geometry quickly (over the weekend) from looking at the slides and working it out running Sage Math on a jupyter notebook.

I’ll update the github file as much as I can as I’m going through Cox, Little, O’Shea (2015), **Ideals, Varieties, and Algorithms**, and implementing what I need from there.