Overview of Features
The RASON REST API provides a set of simple, easy to use endpoints for defining models, solving them using conventional optimization, Monte Carlo
simulation, stochastic optimization, decision tables or a data science/prediction technique and getting results in JSON.
How do RASON models compare to alternative ways of building analytic applications?
- Compared to a modeling language such as AMPL or GAMS for optimization, or ARENA for simulation, RASON models have similar expressive power, and are
easy to understand. But as you'll see below, it is much easier to use a RASON model in a Web, mobile or server application.
- Compared to Excel as a modeling language, RASON models can use essentially all of Excel's operators and built-in functions, but it is much easier to
build "dimensionally flexible" RASON models, and to use a RASON model in a Web, mobile or server application.
- Compared to writing a model in programming language code, RASON models are "higher level" - much easier to create, modify and understand.
But as you'll see below, RASON models are so easy to manipulate in code that you don't give up any flexibility.
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