Name
Title | ||
|---|---|---|
A stochastic FDTD approach for assessing random media uncertainties in polar coordinates |
Abstract | ||
|---|---|---|
Deterministic schemes are usually unable to predict random media uncertainties and as a result produce unreliable outcomes in this kind of problems. In this work, we present a novel finite difference time domain (FDTD) technique that manages to calculate the statistics of the involved field quantities, considering that the variability of random media is known. The proposed method is applied in polar grids and can efficiently deal with such cases in a single realization. Comparisons with the Monte Carlo method show that reliable results may be obtained, thus making our proposed technique much more faster. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MOCAST.2017.7937648 | 2017 6th International Conference on Modern Circuits and Systems Technologies (MOCAST) |
Keywords | Field | DocType |
finite difference time domain technique,stochastic FDTD approach,random media uncertainties,polar coordinates,Monte Carlo method | Applied mathematics,Mathematical optimization,Monte Carlo method,Polar coordinate system,Finite-difference time-domain method,Polar,Random media,Mathematics | Conference |
ISBN | Citations | PageRank |
978-1-5090-4387-3 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christos I. Salis | 1 | 4 | 1.10 |
| Theodoros T. Zygiridis | 2 | 3 | 2.54 |
| Panagiotis G. Sarigiannidis | 3 | 203 | 40.49 |
| Nikolaos V. Kantartzis | 4 | 14 | 4.36 |