Abstract: Graph sampling is frequently used to address scalability issues when analyzing large graphs. Many algorithms have been proposed to sample graphs, and the performance of these algorithms has ...

Since the numerical solution of the optimal sampling problem is very time consuming, we also propose a new quantization-based sampling strategy that is computationally tractable and capable of ...

A view shows the New York Stock Exchange (NYSE) Wall Street entrance in New York City, U.S., April 7, 2025. REUTERS/Kylie Cooper/ File Photo The S&P 500 and Nasdaq ended lower on Friday, with ...

Here, we develop a pathway sampling method via swarm intelligence and graph theory and demonstrate that our PALLAS method is an effective tool to help understand phase transformations in solid-state ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.

Chaos and quantization of the three-particle generic Fermi-Pasta-Ulam-Tsingou model. ... Long-time semiclassical evolution of spinlike systems from Majorana sampling Iván F. Valtierra and Andrei B ...