Covers the Simplex algorithm for function minimization with linear constraints.
Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.
Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.
Covers optimization methods, focusing on gradient methods and line search techniques.
Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.
