realpaver

RealPaver is a modeling language for solving mixed-integer nonlinear constraint systems.

Project Activity

See All Activity >

License

BSD License

Follow realpaver

realpaver Web Site

Other Useful Business Software

Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.

Try it Free

Rate This Project

User Reviews

Be the first to post a review of realpaver!

Additional Project Details

Operating Systems

BSD, Desktop Operating Systems, Linux, Solaris

Languages

English

Intended Audience

Education, Science/Research

Programming Language

Related Categories

C Software Development Software, C Artificial Intelligence Software, C Mathematics Software

Registered

2004-08-04

Similar Business Software

AMPL

AMPL is a powerful and intuitive modeling language designed to represent and solve complex optimization problems. It enables users to formulate mathematical models in a syntax that closely mirrors algebraic notation, facilitating a clear and concise representation of variables, objectives, and...

See Software
Solver SDK

Use optimization and simulation models in your desktop, Web or mobile application. Use the same high-level objects (like Problem, Solver, Variable and Function), collections, properties and methods across different programming languages. The same object-oriented API is exposed "over the wire"...

See Software
Model Predictive Control Toolbox

Model Predictive Control Toolbox™ provides functions, an app, Simulink® blocks, and reference examples for developing model predictive control (MPC). For linear problems, the toolbox supports the design of implicit, explicit, adaptive, and gain-scheduled MPC. For nonlinear problems, you can...

See Software