A gentle and visual introduction to the topic of Convex Optimization. (1/3)



This video is the first of a series of three. The plan is as follows:

Part 1: What is (Mathematical) Optimization? (https://youtu.be/AM6BY4btj-M)
Part 2: Convexity and the Principle of (Lagrangian) Duality (https://youtu.be/d0CF3d5aEGc)
Part 3: Algorithms for Convex Optimization (Interior Point Methods). (https://youtu.be/uh1Dk68cfWs)

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Typos:
- 8:34, The matrix A should be of size nxm, and the vector b should be of size 1xm.

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Timestamps:

0:00 Intro
2:50 What is optimization?
06:00 Linear programs
8:19 Linear regression
9:32 (Markovitz) Portfolio optimization
10:00 Conclusion


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Credit:
🐍 Manim and Python : https://github.com/3b1b/manim
🐵 Blender3D: https://www.blender.org/
🗒️ Emacs: https://www.gnu.org/software/emacs/


This video would not have been possible without the help of Gökçe Dayanıklı.

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Music

Sneaky Snitch by Kevin MacLeod
Link: https://incompetech.filmmusic.io/song/4384-sneaky-snitch
License: https://filmmusic.io/standard-license

Carefree by Kevin MacLeod
Link: https://incompetech.filmmusic.io/song/3476-carefree
License: https://filmmusic.io/standard-license


Funkorama by Kevin MacLeod
Link: https://incompetech.filmmusic.io/song/3788-funkorama
License: https://filmmusic.io/standard-license