XMDS Files

Fast integrator of stochastic partial differential equations

Brought to you by: alastairbarnett, athiator, clintonroy, cms654, and 10 others

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	InfoDownloads / Week
Parent folder
xmds-1.6.6	2008-07-04	0
xmds-1.6.5	2008-04-11	0
xmds-1.6.4	2008-01-16	0
xmds-1.6-3	2007-10-17	0
xmds-1.6-2	2007-06-15	0
xmds-1.6-1	2007-05-10	0
xmds-1.6	2007-03-22	0
xmds-1.5-3	2006-09-19	0
xmds-1.5-2	2005-10-27	0
xmds-1.5-1	2005-07-05	0
xmds-1.4-1	2004-11-02	0
xmds-1.3-5	2004-07-19	0
xmds-1.3-4	2004-06-17	0
xmds-1.3-3	2004-05-31	0
xmds-1.3-2	2004-05-12	0
xmds-1.3-1	2003-12-23	0
xmds-1.2-2	2003-12-07	0
xmds-1.2	2003-11-25	0
xmds-1.2-pre1	2003-11-07	0
xmds-1.1	2003-06-03	0
xmds1.1-beta2	2003-05-05	0
xmds1.1-beta	2003-03-28	0
xmds-1.0-2	2003-02-03	0
Totals: 23 Items		0

Other Useful Business Software

Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.

Try free now

MongoDB 8.0 on Atlas | Run anywhere

Now available in even more cloud regions across AWS, Azure, and Google Cloud.

MongoDB 8.0 brings enhanced performance and flexibility to Atlas—with expanded availability across 125+ regions globally. Build modern apps anywhere your users are, with the power of a modern database behind you.

Learn More

Recommended Projects

Octave Forge
A collection of packages providing extra functionality for GNU Octave
SDE Toolbox
A MATLAB package to simulate sample paths of the solution of a Itô or Stratonovich stochastic differential equation (SDE), compute statistics and estimate the parameters from data. A note of caution: SDE Toolbox is no more developed but it's still downloadable. Its inferential capabilities can be considered surpassed (at best). Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and non-parametric Monte Carlo likelihood methods were chosen for their ability to treat both one-dimensional and multivariate SDE systems, although the quality of the inferential results can't match those obtained using more advanced techniques. Nevertheless the toolbox capabilities to simulate numerical solutions of SDE systems are still valid and can serve as a useful starting point to those willing to simulate stochastic dynamical models easily.
CGAL
The Computational Geometry Algorithms Library

XMDS Files

Fast integrator of stochastic partial differential equations

Get an email when there's a new version of XMDS