Instrument for stochastic simulations of arbitrary explicit equations, providing statistical indicators and graphical representations to comprehend the behavior of equations
Analyzes data series to model their future values, displaying confidence intervals and dependencies between series through statistics such as correlation and covariance
Examines networks by identifying characteristics of nodes and general properties of the network, including analysis of clusters and failure probabilities, maximum flows, among others
Performs reliability analysis on arbitrary limit state equations involving variables with known distributions, providing statistical data such as the probability of failure
Conducts life cycle analysis based on simulation for specific systems, reporting on costs, benefits, and average times of failure and maintenance
Most of the algorithms required for a comprehensive risk and reliability analysis, such as basic Monte Carlo simulation or the more advanced orthogonal Latin hypercube simulation, can be easily found on the internet. However, it’s highly likely that their authors are not well-trained programmers, with degrees in Civil Engineering or Industrial Engineering instead of more computer-oriented careers. As a result, the typical algorithms generated by search engines will be written in programming languages that must be interpreted by an intermediary application, such as Mathematica or MathCAD. This has some significant disadvantages:
2R Software modules can be run on any operating system (Windows, MacOSx, Linux, etc.) without the need to download different versions of the installer. More importantly, it does not require any other software package to be used. Last but not least, the programmer responsible for its development is a well-trained programmer who knows how to make the most of the available processing power and minimize memory consumption, which allows for much faster calculations without compromising the accuracy of the final results.
The programming language being used to implement the various modules of the 2R Software suite is JAVA. More specifically, it is J2SE (Standard Edition) compatible with version 1.6 of JRE (Java Runtime Environment). This decision was made due to the following advantages offered by the aforementioned high-level language:
There are many other advantages that could be mentioned, but those described above give a basic idea of the kind of key benefits that can be obtained when working with JAVA in terms of compatibility, ease of use, and good implementation speed.
Other interesting details about the implementation of 2R software include: