Abstract: In this paper, fractional order implicit dynamics (FOID) is first proposed and investigated for solving time-varying linear matrix equation $A(t) X(t) B(t ...

Abstract: Recently, in-memory analog matrix computing (AMC) with nonvolatile resistive memory has been developed for solving matrix problems in one step, e.g., matrix inversion of solving linear ...

In the field of data science and engineering, tensors have become an essential tool for representing and analyzing ...

A career in quantitative trading or research is one of the most exciting and intellectually rewarding paths in finance.

What if a century-old computing concept suddenly leapfrogged the most advanced GPUs on the planet? That’s exactly what researchers at Peking University have demonstrated with a new analog processor ...

This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...