Generative engine optimization (GEO) is the practice of positioning your brand and content so that AI platforms like Google AI Overviews, ChatGPT, and Perplexity cite, recommend, or mention you when ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

Currently OptimizationManopt is significantly under-documented and isn't really showcased. There should be something that is bumped up to being a tutorial, i.e. an ...

Abstract: This talk begins by discussing the role of partial differential equation-constrained optimization in the development of digital twins. In particular, applications to identify weaknesses in ...

Abstract: This article presents the development of a technological tool that results in student learning about solving differential calculus optimization problems. This work is framed in a research ...

Abstract: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...

ABSTRACT: In the current work, we study two infectious disease models and we use nonlinear optimization and optimal control theory which helps to find strategies towards transmission control and to ...

IT leaders viewing cloud optimization through the lens of cost are giving the topic short shrift. Cloud optimization is also about deliberate workload placement. Viewing cloud optimization solely ...