In this module, we introduce the concept of optimization, show how to solve mathematical optimization problems in Python and SciPy, introduce unconstrained optimization, constrained optimization, and real-time optimization including topics such as model parameterization and real-time optimization (RTO).
For the previous video lecture in this series click here: • Optimization with Python and SciPy: Uncons...
For the next video lecture in this series click here: • Optimization with Python and SciPy: Multip...
For a playlist of all video lectures, click here: • Fundamentals of Smart Systems