Introduces direct solution methods for numerical optimal control, emphasizing problem formulation, scaling, and practical tips for successful problem solving.
Explores error estimation in numerical methods for solving ordinary differential equations, emphasizing the impact of errors on solution accuracy and stability.
Explores the consistency and asymptotic properties of the Maximum Likelihood Estimator, including challenges in proving its consistency and constructing MLE-like estimators.
