在算法上

We study the unsymmetric large sparse linear systems under distributed-memory environments. We present the Modified BiCG. And we also propose the s-BiCG methods which is suitable for parallel computing.

9研究了非对称大型稀疏线性方程组的分布式并行求解，在提出修订的BiCG算法的基础上，提出了一种适于并行计算的s-BiCG算法。

This paper proposes an efficient approximating skinning algorithm for constructing B-spline surface based on Piegl's approach.

在Piegl算法的基础上，提出一种更加高效且误差可控的近似蒙皮算法。

Fancy algorithms are buggier than simple ones,and they're much harder to implement.use simple algorithm as well as simple data structures.

复杂的算法总是更容易出bug，所以尽可能在数据结构和算法设计上都简单一些

The advantage of this algorithm is simple and fast,while its disadvantage is prone to produce fragmentation caused by coalescing buddy only.

在介绍动态存储分配技术基本机制的基础上，对MySQL中InnoDB引擎的动态存储管理所采用的二进制伙伴算法进行了深入的分析，该算法的优点是简单、速度快，缺点是由于只归并伙伴而容易产生碎片。

Based on analysis of the current congesting algorithm,a new congesting control mechanism is proposed,which employs SELA ( stochastic estimator learning algorithm ) and fuzzy logic controller.

在分析了目前的拥塞控制算法的基础上，将随机估计学习算法和模糊逻辑的知识引入拥塞控制，提出了新的拥塞控制模型。

Lots of sophisticated algorithms have been developed to reduce system drift errors in the presence of coning motion.

在对经典理想角增量输入的圆锥算法分析总结基础上，提出并推导了更为合适的经典角增量输入圆锥算法通式。

Dual-manipulator coordination motion planning based satellite attitude control and path optimization strategy and algorithms are proposed. According to the function of two manipulators, four kinds of coordination modes of stabilizing function, counterbalancing function, adjusting function and cooperative operation are defined. Common motion planning algorithm for the four kinds of coordination modes is proposed.

在讨论卫星姿态控制的重要性和实现方法的基础上，指出了通过机械臂运动进行卫星姿态控制的可行性及优越性，提出了基于双臂协调运动规划的机器人卫星姿态控制及路径优化的策略和算法，定义了稳定作用、平衡作用、调节作用和协同作业等四种双臂协调方式，并给出了四种协调方式下统一的运动规划算法。

On the basis of the above work, an algorithm using gradual approach to decomposing the diagnosis problem is proposed.

在此基础上，提出了利用分步求解方法实现诊断分解的算法，并对算法的正确性、完备性和复杂性进行了证明。

Based on the model, an optimization algorithm called GP-GA was proposed by hybridizing Gene-Pool with traditional Genetic Algorithm.

在此模型的基础上提出了一种基因库与传统遗传算法混合的优化算法GP-GA。

2In order to reduce the randomness of choosing initial centers, this paper puts forward an algorithm of initialing centers called BD which is based on density. According to the whole construction of dataset, the dataset would be partitioned by density first and then choosing initial centers on the basis of some strategies. It will make choosing work more reasonable.

提出了一种初始点选取的算法，即基于密度划分的BD算法，目的是为了减低初始点选取的随机性，它是从数据集的整体结构出发，先通过对数据集进行密度划分，在此基础上按照某种策略选择初始点，使初始点的选择更加合理。

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。