In this article, we introduce a convex combination-based distributed momentum method (CDM) for solving distributed optimization to minimize a sum of smooth and strongly convex local objective ...

This letter presents an effective optimization synthesis approach for orbital angular momentum (OAM) beams with low sidelobe and high mode purity through antenna array complex excitation optimization.

J. Giles, Convex analysis with application in differentiation of convex functions, Res. Notes in Math. #58, Pitman, London, 1982. R. Holmes, A course in optimization and best approximation, Lecture ...

Cloud costs are rising faster than revenue. Leaders must treat cloud spend like capital, link it to outcomes and embed ...

Achieving Fairness in an Optimization Model, by Özgün Elçi, John Hooker, and Peter Zhang, challenges how people typically think about mathematical decision-making tools. Published by Springer Nature ...

Due to their extraordinary utility and broad applicability in many areas of classical mathematics and modern physical sciences (most notably, computerized tomography), algorithms for solving convex ...

ABSTRACT: In this paper, we present some properties of m-convex stochastic processes. The most important results are: a generalization of the sandwich theorem and a result on Hyers-Ulam stability, ...

What if one mathematical nuance has been quietly restraining the efficiency of wind turbines since the turn of last century?