Students will learn the foundations of linear programming, properties of optimal solutions and various solution methods for optimizing problems involving a linear objective function and linear ...

Students will learn about the most common numerical optimization algorithms for solving smooth unconstrained and constrained optimization problems. They will understand the theoretical foundation and ...

Probabilistic models ... of as 'maximization' of the expected log-likelihood of the data. As with most optimization methods for nonconcave functions, the expectation maximization algorithm ...

Probabilistic models for LoS/NLoS channels are proposed and influenced by factors like UAV height and obstacle density. The optimization mathematical ... coordinate descent method to iteratively ...