| 1. | Once a stable time step is found, further reduction will not appreciably increase solution accuracy . 一旦找到一个稳定的时间步长,进一步减少它不会显著增加解的精度。 |
| 2. | The local time steps are determined by a local cfl condition 该方法的局部时间步长取决于一个局部的cfl条件。 |
| 3. | Automatic time step control 自动时间步长控制 |
| 4. | You can use the patterns that the algorithm discovers to predict values for future time steps 使用该算法发现的模式可以预测未来时间步长的值。 |
| 5. | You can select how many future time steps you want to see in the model by using 使用“预测步骤”可以选择要在模型中显示的未来时间步长的数量。 |
| 6. | Numerical experiments demonstrate the efficiency and robustness of the proposed method 计算结果表明,对于这类问题,我们的局部时间步长算法可以得到预期的结果。 |
| 7. | The moving grids are attached to the wing and are generated at every time step in the calculation for the unsteady viscous flows 在计算非定常流动时采用贴体运动网格,每一个时间步长生成一次。 |
| 8. | For this simple example we will use a pattern time step of 6 hours thus making demands change at four different times of the day 为此,我们拟定模板的时间步长为6小时,按一天的4个不同时间而变化。 |
| 9. | A three - dimensional model , imbedded a closure turbulence sub - model , was built and applied to simulate the barotropic tides and tidal currents in the ecs 该模式可大大提高时间步长,与目前广泛使用的pom模式相比,效率可提高数十倍。 |
| 10. | The two methods are validated by running the xin ' anjiang model at a daily time step from the monthly data , and the model outputs are more accurate than the monthly hydrological model 然后以时间步长为日,运行新安江模型,用模拟的月径流过程验证了解集方法的合理性。 |