Introduces a course on optimizing energy systems using computer-aided decision-making for efficient design and operation.
Explains the Runge-Kutta methods, particularly the explicit scheme of order 4 (ERK4), and how to optimize parameters for accuracy.
Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.
Covers optimization methods, focusing on gradient methods and line search techniques.
Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.
