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

NetMax is a Python library that provides the implementation of several algorithms for the problem of Influence Maximization in Social Networks, originally formulated in "Maximizing the Spread of ...

Abstract: The influence maximization (IM) problem aims to identify a set of seeds with the maximal influential ability within the network, where numerous applications can be detected such as market ...

The fields of Natural Language Processing (NLP) and Natural Language Generation (NLG) have undergone amazing transformations since the introduction of Large Language Models (LLMs) and multimodal ...

In complex networks, there often are groups of nodes that are better connected internally than to the rest of the network. In network science, these groups are referred to as communities. These ...

ABSTRACT: The purpose of this paper is to introduce a new pivot rule of the simplex algorithm. The simplex algorithm first presented by George B. Dantzig, is a widely used method for solving a linear ...

Hair and nail products, all-purpose cleaners and automotive products contain some of the highest numbers of chemicals. By Dana G. Smith More than 100 types of common consumer products contain at least ...

The aim of this study was to explore the information disclosure (ID) problem, which involves selecting pairs of two sides before matching toward user-oriented optimization. This problem is known to be ...