Symmetric Rank 1 | Exact Line Search | Theory and Python Code | Optimization Techniques #7

☕️ Buy me a coffee: https://paypal.me/donationlink240 🙏🏻 Support me on Patreon:   / ahmadbazzi   About: In the seventh lecture, we talk about a well-known optimization technique which falls under the category of quasi Newton methods, and is called the symmetric rank 1 (SR1) algorithm. This lecture contains everything you need to know about the symmetric rank 1 optimization technique. I will show you how to use SR1 when combined with the exact line search method. The outline of this lecture is as follows: ⏲Outline⏲ 00:00 Introduction 01:06 Symmetric Rank 1 Algorithm (SR1) 04:38 Exact Line Search 05:51 Python Implementation 20:02 Animation Module 35:34 Animating Iterations 40:22 Outro 📚Related Courses: 📚 Convex Optimization Extended Course    • Convex Optimization   📚 Python Programming Extended Course    • Python Programming   📚 Convex Optimization Applications Extended Course    • The Transshipment Problem in Decision Maki...   📚 Linear Algebra Extended Course    • Linear Algebra   📚 Python projects course    • Python   🔴 Subscribe for more videos on CUDA programming 👍 Smash that like button, in case you find this tutorial useful. 👁‍🗨 Speak up and comment, I am all ears. 💰 If you are able to, donate to help the channel Patreon -   / ahmadbazzi   This lecture contains any optimization techniques. #optimizationtechniques #optimization #algorithm