Abstract: Exploratory Landscape Analysis characterizes fitness landscapes of various optimization problems to categorize them and reveal relationships with different metaheuristic algorithms. It uses ...
Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. Robert Kelly is managing director of XTS Energy LLC, and has more ...
Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...
A study reveals random exploration outperforms focused analysis—shedding scientific light on non-ordinary ways of knowing.
You have full access to this article via your institution. Figure 2: Performance of the KIC loop reconstruction protocol. The described state-of-the-art loop ...
Discover how to determine the ideal percentage of a population for a representative sample to ensure accurate data analysis with minimal sampling error.
The Monte Carlo (MC) method is a numerical approach for obtaining approximate solutions to mathematical, physical, and engineering problems. Methods for generating random numbers can be categorized ...
ABSTRACT: This article has two objectives. The first is to develop an R script that performs Mardia’s K2 test for assessing multivariate normality (MVN), using both its original asymptotic formulation ...
The Global Network of Isotopes in Precipitation (GNIP) is a worldwide isotope monitoring network of hydrogen and oxygen isotopes in precipitation, initiated in 1960 by the International Atomic Energy ...
Stratified random sampling - random samples are taken from within certain categories. Stratified systematic sampling - regular samples are taken from within certain categories.
Same seed + same id = same result, every time. Different seeds produce different orderings. Unlike stateful PRNGs (e.g. sqlite-fastrand), this is a pure hash function ...
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