Does string theory—the controversial “theory of everything” from physics—tell us anything about consciousness and the human ...

Abstract: This paper addresses a class of optimization problems with time-varying cost functions by proposing a fully distributed prescribed-time algorithm. The algorithm decomposes the overall ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

A fiscal watchdog group found that deterrence measures are starting to have an impact on the practice, which has surged since the pandemic. By Taylor Robinson The Metropolitan Transportation Authority ...

Rail cars are long-term assets that play a critical role in the transportation of goods across the country. However, their substantial initial investment and ongoing maintenance costs can make ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

Thomas Young Centre and Department of Chemical Engineering, University College London, Roberts Building, Torrington Place, London WC1E 7JE, U.K. Thomas Young Centre and Department of Chemical ...

This year, 89% of organizations are using multiple cloud services for their IT, and 73% are using hybrid cloud, a combination of both cloud-based and on-premises IT, according to Flexera. Healthcare ...

ABSTRACT: Visualization of the patterns or behaviors of complex functions is an important approach to identifying their solution spaces. This approach can lead to improving the design of search ...