查询词典 algorithm of euclid

Fast algorithm of minimal norm least square solution for Cauchy linear system;2. For the m×n Cauchy-type matrix with full column rank,the fast algorithm of the minimal norm least square solution to the linear system Cx=b was obtained by construction of a special block matrix and study of the triangular decomposition.

对于秩为n的m×n阶Cauchy型矩阵C，通过构造特殊分块矩阵并研究其三角分解，进而得到了线性方程组C x=b的极小范数最小二乘解的快速算法，所需运算量为O+O(n2)，而通常构造法方程组的方法所需运算量为O(m n2)+O(n3)，用正交化法虽然避免了构造法方程组，但所需的运算量更大些。

A combinative algorithm of reinforcement learning and genetic algorithm is proposed in this paper and is applied to self-organized control of the traffic signals.

摘要提出一种基于再励学习和遗传算法的交通信号自组织控制方法。

Ant Colony Optimization Algorithm is a novel kind of simulated evolutionary optimization algorithm, which provides a new method for complicated combinatorial optimization problems.

蚁群优化算法是一种新型的模拟进化优化算法，为求解复杂的组合优化问题提供了一种新的思路。

In this article,based on the twolevel algorithm of selforganization and by applying the method of combinatorial investment ,we set up GMDHtwolevel algorithm security combinatorial investment prospective proceeds model.

以自组织理论两水平算法为基础，采用组合投资方法，在证券投资GMDH两水平算法预测模型的基础上，建立了GMDH两水平算法的证券组合投资预期收益模

Ant Colony Optimization algorithm is a new heuristic algorithm to the combinatorial optimization problem.

蚁群算法是一种新兴的启发式算法。

Genetic algorithm is a simple but efficient combinatorial optimization algorithm based on the principle of nature evolution.

遗传算法是一种模拟自然进化而提出的简单高效的组合优化算法。

The algorithm found the least period based on the greatest common divisor of the received adjacent threaten pulse time space, and compared with the received signal continually to correct the error, and then deduced the key value which shows when to stop the algorithm.

该算法根据收到的相邻威胁脉冲时间间隔的最大公约数，找到其最小周期，并不断和接收到的信号相比较以纠正误差，并推导了算法停止的关键值limit。

The primary work of this paper includes: 1 The general process and the fundamental theory of genetic algorithm is introduced systematically, which is also be applied to an example; 2 The penalty function method and the constraint tournament method are introduced in the paper, which are used to process the constraint limit. Via analyzing the basic principle of NSGA-II ,which is elaborated in the paper, the fast non- dominated sorting method, congestion distance and its comparison operator, the elite strategy and the main process of NSGA-II is researched particularly. 3 Via modeling the fire distribution problem, the model is computed by the algorithm of NSGA-II, which is combined with both the penalty function method and the restraint league tournament method The optimization of two goals are also realized in the paper. The results derived from the VC++6.0 indicate that, two algorithms both have the high convergence, simultaneously the Pareto optimal solution also maintain the variety of distribution.

本文所作的主要工作如下：系统地介绍了遗传算法的一般流程和基本理论，并应用于一个函数优化的实例；研究了用于处理约束限制的罚函数法和约束联赛法，论述了NSGA-II的基本原理，并对其提出的快速非支配排序法、拥挤度及其比较算子、精英策略及NSGA-II的主要流程作了详细的研究；建立了火力分配问题的模型，并将NSGA-II算法分别与罚函数法和约束联赛法相结合对该模型进行了计算，实现了对两个目标的最优化；用VC++6.0编程计算后所得的结果表明，两种算法均具有很好的收敛性，同时Pareto最优解也保持了好的多样性分布。

Except that the specifications of the single-objective real-valued quantum-inspired evolutionary algorithm are kept, the proposed algorithm has three main features to enhance the RQIEA. First, the crowed comparison operator is used to sort and select individuals in multi-objective sense. Second, the non-uniform mutation operator is applied to improve the precision for local search and to preserve the convergency for the solutions. Third, the diversity preserve operator is proposed to maintain the diversity.

该算法除保留求解单目标优化问题的实值量子演化算法的特点外，还有三个主要特征：首先，根据多目标优化特点，使用多目标密度比较算子对种群进行排序和筛选；其次，应用非均匀变异算子保持解的收敛性和提高局部搜索能力；再次，使用多样性保持算子来保持解的多样性。

Meanwhile it compendiously introduces the main principles of genetic algorithm and the stimulated annealing algorithm, principal parameters during the course of solving problems and vertex coloringtheory.

对有关文献中建立的车流组织的网络模型进行分析，指出其不合理性。

"Second Life is remarkably easy to work with, and is very popular,"

"第二次生命是显着容易的工作，并且很受欢迎，"

For example, we usually assume that materials are homogeneous and isotropic and free of internal defects or flaws.

为了得到适合有限元分析的模型，我们必须经过如图2所示的简化步骤。