Numerical analysis and simulations show that this algorithm reduces the computational complexity significantly for the estimation of large frequency offset while maintains a good performance.
理论分析和仿真表明该算法在保证估计精度的同时，可显著降低大频偏估计的计算复杂度。
The numerical results show that this algorithm is very effective for large scale problem, and the precision is improved.
数值例子的结果显示，该算法对处理大规模问题高效的，并且可大大提高精度。
The regular numerical algorithm is MOM, whose general impedance matrix has a large condition number at the resonance frequency points, which brings an inaccurate result.
常规散射特性计算方法如矩量法中的广义阻抗矩阵在谐振频率点上条件数过大，导致计算不准确。
Numerical examples show that FHT is a useful fast algorithm to simulate the beam propagation through a large high power laser amplifier system with cylindrical symmetry.
数值计算例表明，用快速汉克尔变换来模拟柱对称大型高功率激光放大系统中的光传输时，是一种非常有用的、快速的算法。
A large amount of numerical experiments indicates that the improved algorithm has good computing stability and high accuracy.
大量数值实验表明，改进算法具有良好的计算稳定性和较高的计算精度。
Some numerical results for a large number of random convex quadratic programming problems show that the new algorithm is efficient and might be a polynomial-time algorithm under some conditions.
大量的关于随机的凸二次规划问题的数值实验结果表明它的计算效率是高的，在某些条件下可能是多项式时间算法。
Numerical results are given to illustrate the robust of the improved algorithm, which more suit to solve the large , sparse , and nonsymmetic standard eigenvalue problem.
数值试验表明，新算法比传统的算法更稳定，更适合于求解大型稀疏的非对称标准特征值问题。
The numerical results show that this hybrid parallel algorithm is effective for large structure eigenproblem.
数值结果表明这种求解大型结构特征值问题的粗细粒度混合并行算法是可行有效的。
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。
The new algorithm is shown to be globally convergent and numerical experiments indicate that it is very effective for large scale unconstrained minimization problems.
从理论上证明了新算法的全局收敛性，数值试验结果也表明了新算法的有效性。
The new algorithm is shown to be globally convergent and numerical experiments indicate that it is very effective for large scale unconstrained minimization problems.
从理论上证明了新算法的全局收敛性，数值试验结果也表明了新算法的有效性。
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