Solve Optimization Problems with Lagrange Multipliers in Python
Вставка
- Опубліковано 2 жов 2024
- Today we learn how to solve optimization problems with constraints using Lagrange multipliers in Python.
◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾
📚 Programming Books & Merch 📚
🐍 The Python Bible Book: www.neuralnine...
💻 The Algorithm Bible Book: www.neuralnine...
👕 Programming Merch: www.neuralnine...
💼 Services 💼
💻 Freelancing & Tutoring: www.neuralnine...
🌐 Social Media & Contact 🌐
📱 Website: www.neuralnine...
📷 Instagram: / neuralnine
🐦 Twitter: / neuralnine
🤵 LinkedIn: / neuralnine
📁 GitHub: github.com/Neu...
🎙 Discord: / discord
Wonderful! Quite unexpected to see a mathematical topic being addressed by a computer scientist, and a simple code shown in Python. I've taught Lagrange multipliers technique to students in JKU Linz, and FAU Erlangen. The coding part without symbolic packages is always demanding. Kudos 👍
Black magic. Python syntax is hilarious to absurd. What looks like an assignment become a function definition. The code looks simple but is everything but.
Import numpy as numpy then do big number calculation with very very high accuracy and wait 2 days 😝
How do u set up inequalities as constraints
Is there any way for me to stop the keystroke "q" from quitting the GUI, that is streaming the sender's screen using the "StreamingServer" import from the Python library "Vidstream" you made?
For the ball problem, You define the constraint as the surface of the ball. Could be define the constraint as everything inside the ball? Like doing x²+y²
this is great !! Appreciate your content!!
Thx_.