NESSUS 9.1.1 Release Notes

January 19 2010

NESSUS 9 and 9.1 bring several new enhancements. The following list provides an overview of the highlights in these releases.

New Capabilities and Enhancements

Improved distribution editing interface
- PDF equations displayed in the GUI
- Short descriptions of distribution parameters in GUI
Support for MacOS X
Miscellaneous minor bug fixes

New Reliability Analysis Methods
- ISMPP: Importance sampling at user-defined MPP
- EGRA: State-of-the-art surrogate-based method designed for extremely expensive response functions. Unlike MPP-based methods, it is not gradient-based
- RSMGP: Gaussian process surrogate method
LHS enhancements (advanced options)
- Optimal design based on max-min distance criterion
- 3 correlation reduction methods for small samples
- Capability to augment (double) sample size while maintaining Latin Hypercube structure
Probability distribution modeling
- New distributions: beta, exponential GEVmax, GEVmin, gamma, Pareto, triangular, uniform
- Capability to switch between definition in terms of natural parameters or mean & standard deviation