Abstract: This paper presents a quantum computing framework to solve a system of nonlinear ordinary differential equations (ODEs) used in the power system dynamic analysis. The framework exploits the ...

Choosing between linear and rotary indexers for an automated assembly application depends primarily on the size of the product and the space available on the plant floor. Most products assembled on ...

A method for the numerical solution of the n-point boundary value problem for homogeneous linear ordinary differential equations is developed. The method requires two Runge-Kutta integrations over the ...

After years of work on Loudoun’s Linear Parks and Trails System, the county Parks, Recreation and Community Services staff and members of the Open Space Board celebrated the unveiling of a new name, ...

Abstract: In this paper, to the first-order linear time-varying ordinary differential systems, the properties of the statements are explored with a parameter algorithm, in which the effect of ...

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...

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