On the Automatic Generation of Efficient Computational Models

This paper presents an algorithm for the reduction of the computational requirements associated with a majority of mathematical models. This computational reduction plays an important role, especially in the case of real-time applications. In this work, we describe the different sections of the algorithm and their interactions with one another. Further, as a case study, we investigate the synthesis of efficient robot dynamic models, that can be employed for the symbolic and numeric modelling of robotic mechanisms.