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 ...

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

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 ...

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 ...

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

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

The standard quadratic optimization problem (StQP) refers to the problem of minimizing a quadratic form over the standard simplex. Such a problem arises from numerous applications and is known to be ...