优于

For this theory, it is better than the traditional fixed damping conjugate gradient method.

从理论上讲，它要优于传统的固定阻尼共轭梯度法。

The numerical experiments shows that the algorithm is much more efficient than the general genetic algorithm and conjugate gradient method.

算例结果表明，该算法对于病态方程组的求解效果明显优于一般的遗传算法和共轭梯度法。

Simulation results show that the size of the connected dominating set is better than those of the previous works.

模拟实验表明，该算法构造的连通支配集的尺寸明显优于现有算法。

Experimental results show that the proposed algorithm outperforms the greedy algorithm in terms of the runtime and the size of the constructed connected cover set.

理论分析和实验数据表明，CVT算法的性能在时间复杂性和连通覆盖集大小方面都优于已有的贪婪算法。

Results: In comparison with adriamycin group, myocardial contractibility and coronary fluence were improved and arrhythmia was reduced in FDP and CoQ10 groups, especially in FDP group.

结果：FDP与CoQ10均可改善阿霉素引起的大鼠心肌收缩幅度、冠脉流量下降，减少心律失常的发生，降低冠脉流出液中CPK活力，且FDP优于CoQ10。

Even at daytime as sharp as Radian to the edges, image below 22 mm Leitz, but contrasty, comfortable with instadjust eyecup, better than 22 mm Panoptic even on 18 f/4.2 Starmaster, minor pincushion despite sharp view, no ghosting, a bit of kidney bean.

甚至在白天观测中边缘和RA一样锐利，成像弱于Leitz22，但对比和舒适性由于可调眼罩作用很好，在18 f/4.2 Starmaster上表现优于PO22。很微小的枕失，成像很锐，没有鬼影，有一点黑边。

This algorithm characterizes large convergence domain and better reduction noise performance, especially in condition of 5dB～20dB SNR.(6) An equalizer to compensate non-linear time-variant channel in chaotic communication system is conducted.

同其它的方法相比，这个新的迭代算法具有大范围的收敛区域和良好的降噪效果，特别是在信噪比为5dB～20dB时，明显优于其它方法。

The computer simulation showed the blind Sign-EMS MLSE algorithm is superior to conditional blind EMS MLSE algorithm in convergence speed and mean square error in typical telephone channel, symmetric channel and common channel.

通过计算机仿真试验，在典型电话信道，对称信道以及普通信道中，对该算法与传统的LMS盲最大似然估计算法性能作了比较，并证明了该算法在收敛速度、均方误差等方面均优于传统算法。

It shows that, p convergency is indeed better than h convergency.

比较结果表明，p收敛过程确实优于h收敛过程。

In addition,an upper bound of multivariate Gaussian probability for a general convex domain is given based on a geometric observation.

利用已得一维Mills率的估计验证了在部分参数区间上我们的上界估计要优于已有的估计。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。