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 ...

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 ...

Quantum computing promises significant speed-ups for certain algorithms but the practical use of current noisy intermediate-scale quantum (NISQ) era computers remains limited by resources constraints ...

optimizer = optimization.OptimizerGeneric(problem) res = optimizer.optimize(tol=1e-9) producing a merit function value of 0.288. However, on my setup, running: res = optimizer.optimize(tol=1e-6) ...

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 ...

“Hi, Trish. Voice search means optimizing your website for voice search queries. The goal of voice search optimization is to make your content more likely to appear in voice search results.” If you’d ...

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 ...