Covers gradient line search methods and optimization techniques with an emphasis on Wolfe conditions and positive definiteness.
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Explores optimization methods in engineering, covering decision variables, constraints, and various solving techniques.
Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
