算法

On the basis of Venigalla\'s work,we adopted two path-based algorithms, namely,gradient projection algorithm and disaggregated simplicial decomposition algorithm to solve nonadditive path cost traffic assignment problem under different engine operating modes.We compared the above two algorithms in a network example which showed that compared with the traditional Frank-Wolfe algorithm, the two path-based algorithms had a more quicker convergency while getting optimal solution,and it can obtain a satisfying solution in most cases.

2在Venigalla等人研究工作的基础上，分别采用基于路径的梯度投影算法(gradient projection，GP)和基于路径的非集计的单纯分解算法(disaggregated simplicial decomposition，DSD)来求解考虑不同发动机启动模式下，具有非可加路径费用的交通分配问题，在实例计算中比较了这两种算法的计算性能。

The effectiveness of this method depends basically on two values,Гmin the search is faster for larger Гmin and the size of Pref (RE (the search is faster for less prefixes), where Гmin donate the shortest path from the initial state to a final state of the Nondeterministic Finite Automaton and Pref the prefixes of length Гmin for all the strings matching the regular expression. The size of Pref can be exponential in m and for multiple expressions matching the Pref will be much larger.

现有的正则表达式搜索算法性能较好的是多模式过滤类型的算法，此类算法严重依赖于两个因素，从NFA的初始状态到终止状态的最短路径Lmin和正则表达式所表达的语言的前缀集合Pref的大小，Lmin越长，搜索速度越快，Pref越大，搜索速度越慢。

In order to solve problem, this paper proposes the natural gradient algorithms with nonholomic constraints. We derive it by incorporating a nonholonomic constraint into the natural gradient learning algorithm.

章提出了不完整约束的自然梯度算法，该算法是由不完整约束条件与自然梯度算法的结合而推导出来的。

And we propose the algorithm using adaptive threshold and nonlinear plus arithmetic operator to solve the problem in enhancing image blocks.

首先介绍视频图像增强中的两种常用算法(直方图均衡化法及钝化算法)，并针对现有的算法对图像局部细节增强效果不足的缺点，提出结合自适应阈值图像选取和非线性增益算子的图像增强方法。

Aiming at the nonlinear optimization problems with inequality restriction ,we analyzed why the convergence speed of the traditional complex shape arithmetic was slow.

针对不等式约束非线性最优化问题，分析了传统复合形算法收敛速度慢的原因，提出了一种称为复合形旋转方向搜索的新算法，给出了算法的迭代计算流程和程序框图。

Concerning the problem of ascertaining nonmembership functions of Intuitionistic Fuzzy Set, a technique for ascertaining non-membership functions based on priority ordering method was proposed, whose algorithm and steps were presented in detail with the demonstration of rightness in theory. Then, the time complicacy and application area were analyzed and discussed.

针对直觉模糊集非隶属度函数难以确定的问题，提出一种基于优先关系定序法的IFS非隶属度函数确定方法，给出了详细的算法步骤，从理论上证明了该算法的正确性，并分析了算法的时间复杂度与适用范围。

Theoretic models and methods using nonnumeric parallel optimization algorithm, genetic algorithm and simulated annealing algorithm, to adjust and control the production-injection system were made with taking the net present value as the objective function and coupling economic model, reservoir model, wellbore model including producer and injector, and choke model.

以净现值为系统目标，耦合经济模型、油藏模型、注采井筒模型和油嘴模型，首次建立利用非数值并行算法——遗传算法与模拟退火算法调控注采系统的理论模型与方法，对不同开发阶段与不同约束条件下的注采系统进行最佳调控，使之保持最优生产状态。

That is to utilize general MPI programming environment, program on the NHBL parallel computational model, analyze and predicate the running cost of program by using the cost function of this model, and analyze the scalability of program by using the time-scale scalability metric. Finally, we analyze the numeric algorithm example---matrix multiplication and the nonnumeric algorithm example---PSRS sorting on Dawning-1000 MPP and NHPCC-cluster NOW system by using the integrative method.

提出了将并行计算模型、算法、编程进行一体化的研究的方法，即利用通用的标准的MPI编程环境，将编程建立在NHBL并行计算模型上，并且利用该并行计算模型的评价函数进行分析、预测程序的运行代价，再利用时间比例的可扩放性分析方法来分析程序的可扩放性性能；最后我们用PSRS排序算法和矩阵乘法这两个典型的数值和非数值的算法，在曙光-1000并行机和NHPCC-Cluster工作站集群上进行了一体化的分析。

The algorithm improved the efficiency of the linear algorithm by eliminated the reluctant detector, and at the same time ensured to cover the nonself space as much as possible.

论文还对检测器生成算法的初始检测器集合规模和漏检概率进行了测试，测试结果表明改进算法增强了原算法的完备性及可靠性。

In essence, this program asks a human to be the fitness function of an evolutionary algorithm, so that the algorithm can use human visual perception and aesthetic judgment to do something that a normal evolutionary algorithm cannot do.

从本质上说，这一计划要求将一个人的适应度函数的进化算法，因此，该算法可以利用人的视觉感受和审美做一些正常的进化算法不能做到的。

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。