Using sparse matrices and splines-based interpolation in computational fluid dynamics simulations
<|reference_start|>Using sparse matrices and splines-based interpolation in computational fluid dynamics simulations: In this relation I present a technique of construction and fast evaluation of a family of cubic polynomials for analytic smoothing and graphical rendering of particles trajectories for flows in a generic geometry. The principal result of the work was implementation and test of a method for interpolating 3D points by regular parametric curves and their fast and efficient evaluation for a good resolution of rendering. For the purpose a parallel environment using a multiprocessor cluster architecture has been used. This work has been developed for the Research and Development Department of my company for planning advanced customized models of industrial burners.<|reference_end|>
@article{argentini2004using,
    title={Using sparse matrices and splines-based interpolation in computational
  fluid dynamics simulations},
    author={Gianluca Argentini},
    journal={arXiv preprint arXiv:cs/0409056},
    year={2004},
    archivePrefix={arXiv},
    eprint={cs/0409056},
    primaryClass={cs.NA cs.CE physics.comp-ph}
}