| dc.contributor |
European Commission |
|
| dc.contributor |
Reijsbergen, Daniel |
|
| dc.creator |
Reijsbergen, Daniel |
|
| dc.date |
2017-03-01T10:13:11Z |
|
| dc.date |
2017-03-01T10:13:11Z |
|
| dc.date.accessioned |
2023-02-17T20:51:33Z |
|
| dc.date.available |
2023-02-17T20:51:33Z |
|
| dc.identifier |
Reijsbergen, Daniel. (2017). Path-ZVA Implementation, [software]. University of Edinburgh. School of Informatics. LFCS - Laboratory for Foundations of Computer Science. https://doi.org/10.7488/ds/1977. |
|
| dc.identifier |
https://hdl.handle.net/10283/2630 |
|
| dc.identifier |
https://doi.org/10.7488/ds/1977 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/243898 |
|
| dc.description |
This Java project is an implementation of the algorithm presented in the paper 'Path-ZVA: general, efficient and automated importance sampling for highly reliable Markovian systems' by Daniël Reijsbergen, Pieter-Tjerk de Boer, Werner Scheinhardt, and Sandeep Juneja. This implementation was used to create the tables in the paper - however, the general set-up should make it straightforward to extend the program with different models or importance sampling schemes. |
|
| dc.description |
See README.txt |
|
| dc.format |
application/zip |
|
| dc.format |
text/plain |
|
| dc.language |
eng |
|
| dc.publisher |
University of Edinburgh. School of Informatics. LFCS - Laboratory for Foundations of Computer Science |
|
| dc.relation |
'Path-ZVA: general, efficient and automated importance sampling for highly reliable Markovian systems' by Daniël Reijsbergen, Pieter-Tjerk de Boer, Werner Scheinhardt, and Sandeep Juneja (In Submission) |
|
| dc.rights |
GNU General Public License, version 3. |
|
| dc.subject |
importance sampling |
|
| dc.subject |
Rare-event simulation |
|
| dc.subject |
simulation |
|
| dc.subject |
Mathematical and Computer Sciences::Computer Science |
|
| dc.title |
Path-ZVA Implementation |
|
| dc.type |
software |
|