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What is RASON?

RASON, which is an acronym for RESTful Analytic Solver Object Notation, functions as an advanced modeling language and analytics framework that employs JSON and is reachable via a REST API, facilitating the easy development, testing, resolution, and deployment of decision services that incorporate sophisticated analytic models directly within applications. This adaptable tool empowers users to define optimization, simulation, forecasting, machine learning, and business rules or decision tables using a high-level language that integrates effortlessly with JavaScript and RESTful workflows, thus allowing the incorporation of analytic models into both web and mobile platforms while supporting scalability in cloud infrastructures. RASON boasts a wide array of analytic functionalities, enabling it to perform linear and mixed-integer optimization, convex and nonlinear programming, and Monte Carlo simulations with diverse distributions, alongside stochastic programming techniques and predictive models that include regression, clustering, neural networks, and ensemble methods. Additionally, it supports DMN-compliant decision tables, which are crucial for implementing efficient business logic. Given its extensive capabilities, RASON stands out as a vital asset for organizations aiming to improve their decision-making processes through high-level analytics. As companies increasingly recognize the importance of data-driven decisions, RASON becomes an indispensable tool in their strategic arsenal.

What is AMPL?

AMPL is a powerful and intuitive modeling language crafted for articulating and solving complex optimization problems. It empowers users to formulate mathematical models with a syntax akin to algebraic expressions, which facilitates a clear and efficient representation of variables, objectives, and constraints. The language supports a wide array of problem types, encompassing linear programming, nonlinear programming, and mixed-integer programming, among others. One of AMPL's notable strengths lies in its ability to separate models from data, offering both flexibility and scalability for large-scale optimization challenges. Moreover, the platform seamlessly integrates with various solvers, including both commercial and open-source options, allowing users to choose the most appropriate solver for their specific needs. In addition, AMPL is compatible with several operating systems, such as Windows, macOS, and Linux, and offers a variety of licensing options to meet diverse user requirements. This adaptability and user-centric design render AMPL an outstanding option for both individuals and organizations engaged in tackling sophisticated optimization tasks. Its extensive features and capabilities ensure that users are well-equipped to handle a broad spectrum of optimization scenarios.

Media

Media

Integrations Supported

Artelys Knitro
JSON
JavaScript
Microsoft Excel
Python

Integrations Supported

Artelys Knitro
JSON
JavaScript
Microsoft Excel
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$3,000 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Frontline Solvers

Date Founded

1987

Company Location

United States

Company Website

rason.com

Company Facts

Organization Name

AMPL

Date Founded

2002

Company Location

United States

Company Website

ampl.com/products/ampl/

Categories and Features

Categories and Features

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