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CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or even using Jupyter notebook right on your Google Chrome. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language. This tutorial is outlined as follows
00:00 Intro
00:46 SOCP: Second-Order Cone Programming
08:52 SOCP on CVXOPT
21:43 QCQP: Quadratically Constrained Quadratic Programming
38:45 Summary
QCQP full lecture
Lecture 7 | Quadratically Constrained Quadratic Programs | Convex Optimization by Dr. Ahmad Bazzi • Lecture 7 | Quadratically Constrained Quad...
SOCP full lecture
Lecture 8 | Second Order Cone Programming (SOCP) | Convex Optimization by Dr. Ahmad Bazzi • Lecture 8 | Second Order Cone Programming ...
CVXOPT: https://cvxopt.org/
Jupyter: https://jupyter.org/
Python: https://www.python.org/
Google Chrome: https://www.google.com/chrome/
#CVXOPT #ConeProgramming #Python
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