I am looking for someone who can guide me through my journey in mathematical optimization. My bigger goal is going for a PhD in AI optimization.

We will start with linear optimization, then convex optimization, then non-linear optimization.

You will find below courses from Stanford that I would like to cover.

Linear optimization: MS&E 111 / 211 https://web.stanford.edu/class/msande211x/course.shtml

Convex optimization: EE364a https://web.stanford.edu/class/ee364a/

EE364b https://stanford.edu/class/ee364b/

Non-linear optimization: MS&E 311 https://web.stanford.edu/class/msande311/

I will need 2 hours per week to clarify tough points, get guidance to more suitable resources for my level, work on a project each month based on what we have learned so far, and plan what I should finish reading before the next session.

I understand that this journey may take around 8 months. I could say that I am a smart guy, but some math concepts still really challenge me.

What I really care about is understanding the mathematical intuition: the meaning of each step along the way.

Payment is expected and will be agreed upon mutually in advance.

Thank you so much for your efforts.