完全收敛速度 rates of complete convergence
全局最优收敛 Convergence to the global optimum
最终收敛到全局最优解 global minimal
相比于部分解耦辨识算法，该算法的优点在于它能够在全噪声数据环境下得到更高的收敛速度和精度。
The advantage of the presented algorithm is that it possesses higher convergence speed and precision than the partly decoupled identification algorithm under a complete noise data environment.
给出了此方法的全离散格式，并分析了该全离散格式的收敛性。
A fully-discrete scheme is given and the convergence of the scheme is analyzed.
求解全三维 N-S方程，通过高分辨率格式提高跨音速流场计算的准确性，利用 LU-SGS隐式解法加快计算收敛速度。
Three dimensional Navier-Stokes equations were solved. The accuracy was improved with a high-resolution scheme. And the convergence was speeded up by the use of LU-SGS implicit method.
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