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Analyzed 3 days ago. based on code collected 3 days ago.

Project Summary

The goal of this toolbox is to provide a collection of low discrepancy
sequences. These random numbers are designed to be used in a Monte-Carlo
simulation. For example, low discrepancy sequences provide a higher
convergence rate to the Monte-Carlo method when used in numerical
integration. The toolbox takes into account the dimension of the problem, i.e.
generate vectors with arbitrary size.

Overview of sequences

* The Halton sequence,
* The Sobol sequence,
* The Faure sequence,
* The Reverse Halton sequence of Vandewoestyne and Cools,
* The Niederreiter base 2 and arbitrary base sequence.

Tags

engineering mathematics monte-carlo probabilities scientific_computing statistics

In a Nutshell, Low Discrepancies Module for Scilab...

GNU Lesser General Public License v3.0 only
Permitted

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These details are provided for information only. No information here is legal advice and should not be used as such.

This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
C
37%
C++
31%
TeX/LaTeX
9%
3 Other
23%

30 Day Summary

Feb 29 2020 — Mar 30 2020

12 Month Summary

Mar 30 2019 — Mar 30 2020

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