Abstract: The Nesterov accelerated dynamical approach serves as an essential tool for addressing convex optimization problems with accelerated convergence rates. Most previous studies in this field ...

Abstract: We consider iterative gradient-based optimization algorithms applied to functions that are smooth and strongly convex. The fastest globally convergent algorithm for this class of functions ...

John C. Urschel is an assistant professor in the MIT Math Department and a Junior Fellow at the Harvard Society of Fellows. He previously played for the Baltimore Ravens. This interview has been ...

ENFORCpp is a C++ tool that allows you to solve nonlinear constrained optimization problems. The tool is designed with real-time considerations and is suitable for online trajectory and control input ...

The Riemann hypothesis is the most important open question in number theory—if not all of mathematics. It has occupied experts for more than 160 years. And the problem appeared both in mathematician ...

Cognitive functioning affects how people think and their ability to remember things. Impairment in this area of brain health may cause a decline in how someone responds to their environment mentally ...

ABSTRACT: In this paper, a modified version of the Classical Lagrange Multiplier method is developed for convex quadratic optimization problems. The method, which is evolved from the first order ...

Data collection is more important than ever for restaurant operators, and with so many sources out there — from POS systems to delivery platforms, and from loyalty programs to digital surveys — the ...

Department of Mathematics & Physics, Beijing Institute of Petrochemical Technology, Beijing, China. are the partitioned matrix of and respectively. As is well known, this problem models a large ...