Search Results for "gnu operating system"

This package provides high-level interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A...

ASEP simulation library is specialized for simulations of Asymmetric Simple Exclusion Processes (ASEP) and its mutations like SSEP or TASEP based on a graph. It is consisted of agents, models, timers and graphs that forms united modelling enviroment ready for computer cluster use - all based on Zarja library.

That project aims at providing a clean API and a simple implementation, as a C++ library, of a Travel-oriented Distribution System. It corresponds to the simulated version of the real-world Computerized Reservation Systems (CRS).

That project aims at providing a clean API and a simple implementation, as a C++ library, of a Travel-oriented fare engine. It corresponds to the simulated version of the real-world Fare Quote System.

That project aims at providing a clean API and a simple implementation, as a C++ library, of an Airline-related Inventory Management system. That library uses the Standard Airline IT C++ object model (http://sf.net/projects/stdair).

Predict if storage utilised will reach capacity within defined period (maximum 5 years), using recent historical data contained within RRD files (maximum -1 year). Produces HTML (or partial HTML) and, more importanly, a PNG RRD Graph showing the prediction and, should the capacity be reached, an annotation indicating when. Optionally email out exception notices.

Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes.

Stand-alone software tool for the interactive CE analysis of microarray data. The software is a user-friendly and allows on-the-fly study of CE