Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...
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.
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: Rate Splitting (RS) is a versatile and powerful technique for multi-antenna transmission. In this paper, we study the precoding optimization for RS, which is critically important for ...
Concrete sidewalks are essential for pedestrian safety, but over time, they can develop cracks, uneven surfaces, and other forms of deterioration. Proper maintenance ensures long-lasting durability ...
Technology is giving us more options for plastic waste, but new methods are still far from perfect. This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in ...
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