Abstract: In this paper, a Latin supercube sampling (LSS) combined with Monte Carlo simulation is presented to efficiently sample random variables in the probabilistic power flow (PPF) problem. The ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...
Background: In this paper, the basic elements related to the selection of participants for a health research are discussed. Sample representativeness, sample frame, types of sampling, as well as the ...
This is a set of command line utilities for manipulating large tabular data files. Files of numeric and text data commonly found in machine learning and data mining environments. Filtering, sampling, ...
Abstract: Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data partitioning and sampling are two ...
A compiled version for web browsers is also available on a CDN: Fill the grid with random points following the distance constraint. Returns the entirety of the points in the grid as an array of ...
ABSTRACT: People are bound together through communication, regardless of their backgrounds. Communication is the ability to transfer knowledge from one individual to another. Underestimating the ...
There is a strip of Charlotte Avenue that’s reminiscent of the old-time Nashville avant-garde. It’s flanked on one side by Richland Park, its library and the Sylvan Park neighborhood; on the other ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results