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 ...

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

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

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 ...

Microsoft and KPMG have laid out plans to test Azure Quantum's capabilities on the sorts of real-world problems that should give an edge to quantum computing.