To avoid reduction of critical time step size due to the penalty parameter for contact force calculation, a local density factor is introduced.
为避免用于计算接触力的罚函数法中的罚因子影响显式仿真算法的稳定性 ，采用了局部质量密度因子来抵消罚因子的负面影响。
A remarkable advantage of the proposed method is that the Courant stability condition can be totally removed, and the time step size is limited only by the numerical dispersion errors.
但时间步长不再受稳定性条件的限制，只需考虑数值色散误差对其取值的制约。
The numerical results from US FDTD method are consistent with that from conventional FDTD method. Additionally, with the increase of time step size, US FDTD method is stable and convergent.
数值结果表明相同条件下usFDTD方法与传统FDTD方法的计算精度是相同的，而且在增大时间步长时us FDTD方法是稳定的和收敛的。
In comparison with other distributed parameter models, the calculation result of this model has showed that it has a quality of higher precision with numerical stability even at a big time step size.
与其他分布参数模型的处理方法相比较，该文的仿真方法不仅具有较高的运算精度，而且在较大的时间步长下也有非常好的数值稳定性。
This step will take a long time, as Git is transferring the kernel source (which is hundreds of megabytes in size) from kernel.org to your local machine.
这个步骤会执行很长时间，因为Git正在将内核源代码(这有数百兆大)从kernel.org传输到本地机器上。
Notice how the step size increases as the value increases (values roughly double each time).
注意你的台阶尺寸随著值增加（大约值双每次）。
It analyses the relation by Newton's iteration method, which shows the select of the time step has a relation with the mesh size and dispersion error.
利用牛顿迭代法对其进行了全面的分析，发现了时间步长的选取与网格、色散误差的大小有一定的联系。
The algorithm utilizes the correlation of output error signal to adjust the step size, solves the inconsistency problem of misadjustment and convergence time, and allows more flexibility in using.
该算法利用误差信号的相关值去调节步长，解决了算法收敛时间与稳态误差间的矛盾，为实际应用提供了更大的灵活性。
The key to successful application of this method in real data processing lies in appropriate spacial grids and time iteration step size.
选取合适的空间网格距离和时间迭代步长，是该方法应用到实际资料处理中的关键。
From the result we found that the predictability time is not only depend on initial error but also sensitive to the precision and the time step-size used in the computation.
实验结果表明：动力系统的预报时效不仅与初值误差有关，而且在一定条件下敏感地依赖于计算采用的时间步长和计算精度。
A number of conventional time-varying step size algorithms have been tried on the active filter, and experiments indicate that their performance is highly sensitive to the noise disturbance.
对已有改进自适应算法性能进行分析，并尝试将其应用于有源滤波器谐波检测中。实验表明这些变步长算法的性能极易受到系统中噪声信号的干扰，改进效果不明显。
To program the device, the user enters the start frequency, the increment step size, the number of increments to be made and the time interval the part stays at each frequency.
编程时用户只要输入初始频率和增量值和增量的次数以及各频率分量保持时间间隔。
Numerical simulation shows that the time-step size can be set 100 times as large as that of the conventional FDTD method, while the C-N FDTD algorithm is still unconditionally stable.
算例也表明了当时间步长取为常规FDTD时间步长100倍时，该算法仍然是无条件稳定的。
Numerical simulation shows that the time-step size can be set 100 times as large as that of the conventional FDTD method, while the C-N FDTD algorithm is still unconditionally stable.
算例也表明了当时间步长取为常规FDTD时间步长100倍时，该算法仍然是无条件稳定的。
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