Rand Model Designer owes its unique efficiency to a number of features:Object-oriented modeling encourages the creation of component libraries, which can be modified, reused and exchanged, thereby saving time in new project development.
The modeling language is designed for users whose skills lie in applications, not computer science; no knowledge of modern programming is required. The behavior and structure of the simulated system, and event-driven changes within it, are described through user-friendly mathematical language and diagrams.
The software supports acausal, causal, and composite connections between model units thus making it possible for the model to look alike the technological scheme of the modeled system; physical modeling can be performed based on the connection of readily-available components.
The automatically generated executable code for the built mathematical model is compiled code, ensuring high efficiency of computational experiments. It is possible to create executable code for building in independent external applications, using API. Rand Model Designer includes the option to perform parametric optimization of models.
During code generation the final system of differential-algebraic equations is analyzed and the dimensionality of the system decreased if equations are found that can be solved analytically. The combination of this automatic analysis with fast numerical software makes it possible to work with large systems of equations (thousands of differential-algebraic equations), even in real-time.
Stochastic models are supported.
The product supports visual debugging, the visualization of simulation data, 2-dimensional and 3-dimensional animation.
Built-in tools for interactive user interface through indicators and controls allow the development of independent program products and computer simulators.
The ability to perform parametric optimization of the models.
The ability to create executable models for integration into independent external applications using the API.