Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

Learn how to confidently apply Coulomb’s Law using a clear, step-by-step problem-solving method. This tutorial breaks down electric force calculations, charge interactions, units, and common mistakes, ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

from cuopt.linear_programming import DataModel, Solve, SolverSettings import numpy as np from cuopt_mps_parser import ParseMps dm = ParseMps("Bug2.mps") sol = Solve ...

Abstract: Continuous influence maximization (CIM) in social networks aims to maximize the expected influence spreading by assigning each user a continuous weight reflecting the likelihood and cost for ...

A team of quantum computer researchers at quantum computer maker D-Wave, working with an international team of physicists and engineers, is claiming that its latest quantum processor has been used to ...

Social Networks have been in continuous growing during the last decades. The huge amount of information and applications has led to an increase in the interest of scientists and practitioners in the ...