Both formulations, with and without the improvements, are tested in a computational framework in order to discriminate the most promising solution methods.
These ideas are realized and tested in Cgal, the Computational Geometry Algorithms Library, see http://www.cgal.org/.org/
The designed functions are tested in a series of computational simulations carried out for several building envelopes composed of both contemporary and historical materials.
This section describes the data sets tested in our experiments, the computational resources used to implement and evaluate the proposed feature selection method, the strategies adopted in the data classification, the ABC parameters, as well as a discussion of the experimental results.
As tested in this work, hysteresis and computational time of REM SMD simulations of short polysaccharide chains are significantly reduced as compared to regular SMD simulations, making REM SMD an attractive tool for studying forced-induced conformational transitions of small biopolymer systems.
These results suggested the MD-simulated models and the computational protocol tested in this study were reliable.
The model is tested in a practical case study with Computational Fluid Dynamics (CFD) incorporating the Fire Dynamics Simulator (FDS) model.
The proposed approach has been implemented and tested in a mobile robot with limited computational resources showing a fast converge from global self-localization.
Efficient search algorithms for the optimal network coding solution, as well as heuristic methods were presented and their delay and computational performance were tested in several system scenarios.
