离散群

A preliminary description is put forward on the relationship between the dyadic additive group and discrete Walsh function.

本文也初步提出了有关并元加性群与离散Walsh函数之间的一些内在联系。

It is based on the difficulty of computing the discrete logarithm modulo for a composite number and the factorization problem of large integer.The size of the group signature and verification time of the group signature are equivalent to that of an individual signature.

该方案的安全性是基于求离散对数和RSA大整数因式分解的困难，其群签名长度和群签名的验证时间只相当于一般个人签名。

This paper is to research singular transport equations with anisotropic continuous energy homogeneous slab geometry for periodic boundary condition in slab geometry.

在Lp1周期边界条件下各向异性、连续能量、均匀介质的奇异迁移方程，证明了其相应的奇异迁移算子产生C0半群和该C0半群的Dyson-Phillips展开式的二阶余项是紧的，从而该算子的谱在区域Γ中由具有限重的离散本征值组成等结果。

Based on the discrete logarithm problem on cyclic group Z and the intractability of reversing a one-way Hash function, an improved scheme is proposed which can satisfy alt the desired security requirements, by using a provably secure shortened signature scheme.

基于循环群Z上离散时数困难问题以及单向Hash函数的不可逆性，利用可证安全的短签名方案，设计了一个新的能弥补H-C方案安全隐患的认证加密方案。

Ant colony algorithm is a novel evolutionary algorithm originally designed for discrete optimization problem, and has good performance.

蚁群算法作为一种较新的随机性算法在离散组合领域取得了较好的效果，本文对这种算法进行了研究，并提出了一种改进的蚁群算法。

This thesis proposed two methods of particle swarm optimization and genetic algorithm to optimal reactive power dispatch of transmission systems, respectively. The advantage of these methods is to achieve near optimal solution for discrete nonlinear optimization problem. So this thesis simulates the proposed method for IEEE 30-bus power system and a practical Taipower system.

本论文提出应用粒子群优法演算法和基因演算法，并使用电力潮流分析，调度输电系统中的无效功率，而粒子群优演算法和基因演算法，在求解非线性的离散解时，均能达到可能的最佳解，因此本文应用此两种方法对输电系统作最佳无效功率调度，并且使用IEEE 30-bus系统与实际台电系统作测试，比较此两种方法的调度结果。

A combination algorithm of discrete particle swarm optimization algorithm and ant colony algorithm for grid resource allocation is presented.

提出一种融合离散粒子群优化算法和蚁群算法的新型算法来解决网格资源分配问题。

With the RNA secondary structure prediction and the characteristics of particle swarm optimization,a new model of discrete particle swarm optimization is presented.

根据RNA二级结构预测问题实质和基本粒子群优化算法特性，提出一种离散粒子群优化算法模型。

The work out develops 2 dimension multigroup method of vertical mark of section piece disperse (section piece spreads out NSNM of NDOM) module program and three-dimensional multigroup method module program, develop the module program HANWIND; that SN means sets inside section piece for fundamental work out with this among them, NSNM begs the functional module that solves two dimension problem for HANWIND.

编制开发二维多群节块离散纵标方法模块程序NSNM和三维多群节块展开方法模块程序MGNEM，并以此为基础编制开发节块内嵌SN方法的模块程序HANWIND；其中，NSNM为HANWIND求解两维新问题的功能模块。

In order to eliminate the effect of dimension,the two objective functions were regulated.The experiments on a mixed model assembly line show that the modified discrete PSO algorithm maintains the advantages of PSO algorithm and can solve the mixed model assembly line sequencing problem effectively and rapidly.

对实际混流装配线的仿真实验表明提出的改进微粒群优化算法可以直接应用于离散问题并保持了基本微粒群算法的优良性能，是一种性能较好的高效的混流装配线排序算法。

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。