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Numerical results show the behaviour of the method with emphasis on treatment of boundary conditions.
The behaviour of the method for the two extreme cases was specially investigated.
Figure 4 COurarimmediateficate rates.
Such a strategy may have the advantage to partially cancel errors in the activity-concentration estimation, if it is assumed that the behaviour of the method is the same for spheres in a phantom as in for tumours in patients, and could thus be interesting as a way to reduce the uncertainty of the activity concentration estimation.
However, convergence of posterior samples is essential to ensure a good behaviour of the method.
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As h varies, we observed different behaviour of the methods.
In order to better understand the behaviour of these methods in the PPD, we compare the performance of traditional approaches (LOCF, CC) and theoretically sound techniques (MI, ML), under various MAR mechanisms.
At the same time, as is always the case when genetic algorithms are used, although simple to implement the behaviour of this method is difficult to understand.
Moreover, understanding the form of the error allows creation of extrapolation processes to improve the convergence behaviour of the numerical method.
Finally, numerical examples prove the satisfactory behaviour of the TLM method in acoustics.
A given energy demand for commercial usage in the city of Tshwane South Africaa) is used to investigate the behaviour of the designed method during low and high demand periods.
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