Symbolic and Numeric Math Tools
For automated model equation generation, optimization, and simulation
Maplesoft’s core symbolic and numeric technology has evolved over a period of 25 years and is now considered the finest math functionality in the world. Technical professionals across the world have exploited tools for differential equations, matrix computation, optimization and statistics, and more using Maple’s technical document interface.
Now, MapleSim uses the same core algorithms to automate much of the traditional human effort required to manually derive system equations. Symbolic technology eliminates redundant equations and problematic elements such as algebraic loops, and resolves complexities incurred by differential-algebraic equations. Then, powerful numeric solvers process the system description for the final simulation results. Finally, the resulting model can be analyzed with the full range of math tools within Maple.
Interactive Document Interface
For minimal training costs and a low learning curve
The Maple document-centric environment combines easy access to all the mathematical and graphical power of Maple with a complete set of document processing tools. You can create live design documents and deliverables, and create shareable applications with custom interfaces, all within a single environment.
Multibody Dynamics
For fast, efficient, multibody simulations
Cutting-edge fields such as mechatronics, robotics, biomechanics, and vehicle dynamics demand high-fidelity models of multibody systems. The MapleSim engine for multibody dynamics is based on proprietary graph-theoretic formulation techniques that produce models with performance, compactness, and usability significantly better than other physical modeling systems.
Code Generation
For high-speed, real-time models
You can generate code for hardware-in-the-loop applications from the highly optimized models generated in MapleSim. This code runs many times faster than code produced in traditional tools, and enables you to implement real-time versions of models that would otherwise be impossible.
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