Explores optimization methods in engineering, covering decision variables, constraints, and various solving techniques.
Covers gradient line search methods and optimization techniques with an emphasis on Wolfe conditions and positive definiteness.
Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
Covers the formulation and problem definition in optimization, focusing on defining the objective function, constraints, and feasible set.
