#Frontline solver addition code
Compared to conventional “callable libraries” for optimization or simulation, RASON offers a higher level, more expressive language, saving time in development, as well as ‘zero-footprint’ deployment, with no code other than JavaScript needed on a web or mobile client. Unlike traditional modeling languages such as GAMS (1978) and AMPL (1985), RASON (2015) is a modern language for the Web, designed so both models and results are readable and writable by both humans and programs. A REST API at enables applications to submit RASON models to Frontline’s servers, solve them, and obtain results in JSON. RASON, an acronym for RESTful Analytic Solver™ Object Notation, denotes a high-level, declarative modeling language that is embedded in JSON ( JavaScript Object Notation), the popular structured format widely used to pass data between Web clients and servers. “The RASON service makes creating and deploying analytics models radically simple.” A new generation of apps that can use advanced analytics ‘behind the scenes’ in domains ranging from finance, logistics and energy to consumer services and even games are now much easier to build with RASON. “Deployment of advanced analytics for web and mobile applications has been quite difficult in the past,” said Daniel Fylstra, Frontline's President and CEO. Related: IBM Extends Reach of Watson API Portfolio
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