Minimize costs? Create a conference schedule with fewest early-morning sessions? In this excerpt from the book Data Smart, find out how to use Excel's free Solver add-in to do some data science ...

This paper is an introductory tutorial for numerical trajectory optimization with a focus on direct collocation methods. These methods are relatively simple to understand and effectively solve a wide ...

What we refer to as AI recommendation optimization, simply put, involves improving the accuracy, reliability, and diversity ...

Practical optimization problems, however, may have hundreds of thousands of variables. “The gradient calculation operation is performed iteratively, over and over, and we need to be able to do it fast ...

Despite its inefficiencies, manual optimization is still the process of choice for so many marketers. Why is that?

Optimization problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...

Baker's research focuses on power systems, smart grid, renewable energy, building-to-grid optimization, and applications of machine learning in energy. Her ...

We present a perturbation theory for finite dimensional optimization problems subject to abstract constraints satisfying a second order regularity condition. This is a technical condition that is ...