查询词典 algorithm

Dynamic programming algorithm was introduced to solve the problem. Based on discussion of calculation complexity and effectiveness, the exact DP Algorithm was successfully used in operative schedule of the collecting bucket in multi-car-single-layer mode, which has few service nodes. For problems with large number of service nodes, restricted DP algorithm was constructed to avoid rapid expand in calculation and memory demands during programming process. The restricted DP algorithm, successfully used in single-car-multilayer and compound service modes, gets balance between near optimal programming results and reasonable programming time, so as to meet the real time schedule demands.

文中首先在TSP-STW问题的动态规划模型基础上，论述了计算机精确动态规划解法的求解策略和方法以及算法的有效性和复杂性，并将其成功应用于服务节点数相对较少的多小车单层配药服务模式中集中料斗的集药动作规划；在进行服务节点数较多的单小车多层服务模式中取药小车的运动规划时，为限制计算量和存储空间需求的迅速膨胀，引入以合理限制动态规划算法在每一阶段保留的最大状态元素数为核心的有限动态规划法，以便在求解结果的优化程度和规划时间上取得均衡，达到实时调度的要求。

Based on the study of triangle mesh of creation algorithm, include the arithmetic of regular data make triangle mesh and irregular data make triangle mash. The paper put forward a optimized triangle mesh algorithm. Its key point is divide data into pieces in advance, then set up the net. The experiment result shows that this algorithm improves not only the efficiency of terrain molding, but also the precision compared with the old algorithms The main purposes of this paper are research visualization algorithm of three dimensions and the arithmetic of terrain visualization.

本文研究了基于三角形网格的地形建模的基本理论和方法，包括规则数据的三角网生成以及不规则三角网 TIN 的生成算法，总结了前人在这些方面所做的工作，本文提出了一种优化的三角网格生成算法，实验结果表明，该算法不仅提高了地形建模的效率，而且所生成的三角网格模型与以往算法相比精确性也有很大的提高。

First, the traffic flow time series chaotic feature is extracted by chaos theory. pretreatment for traffic flow time series, and the wavelet neural networks model was build by this. Second, the chaotic mechanism and the chaotic probability is described. Based on chaotic learning algorithm, and the wavelet neural networks fast learning algorithm of traffic flow time series is designed based on chaotic algorithm. Last, a single-step and multi-step prediction of traffic flow chaotic time series is researched by BP neural networks, wavelet neural networks and wavelet neural networks based on chaotic algorithm. The results showed that the wavelet neural networks predictive performance is better than the BP networks and the wavelet neural networks by the simulation results and root-mean-square value.

首先，通过混沌理论提取了交通流量时间序列的混沌特征，并在此基础上建立了小波神经网络交通流量时间序列模型；接着，阐述了混沌学习算法的混沌机理、混沌产生的概率，设计了基于混沌算法的小波神经网络交通流量混沌时间序列快速学习算法；最后利用交通流量混沌时间序列对BP网络、非混沌算法的小波神经网络以及基于混沌算法的小波神经网络进行了单步预测和多步预测，并对预测结果的仿真图和真实值与预测值的方均根进行了比较，结果表明基于混沌学习算法的小波神经网络的预测性能明显优于应用BP网络和非混沌算法的小波神经网络。

In chapter two, we analyzed the methods for single linear Diophantine equations: Rosser algorithm and Fortenbacher algorithm; the methods for linear Diophantine equations: EMAS algorithm and Contejean algorithm.2. In chapter three, the DLU and IILX algorithms for linear Diophantine equations are given based on the ABS algorithms.

第三章在ABS算法的基础上给出了求解线性丢番图方程组的整隐式LU算法和整隐式LX算法，讨论了相应的ABS性质，并讨论了复杂性分析及其应用。

Associated with the analysis of the new algorithm in pure coning environment, general expression of rotating vector in the new algorithm is given, and the basic and optimized algorithm of the new coning compensation algorithm are deduced.

在分析经典圆锥运动误差基础上，给出了新算法的旋转矢量通式，并推导了这类圆锥补偿基本算法及其优化算法补偿系数通式。

Finally, the programme of design for routing protocols is chose in the thesis. Secondly, improved algorithms are introduced in detail. In order to achieve to reduce duplication of data sent in, save energy, prolong the network lifetime and balance the network load, improved algorithms are based on the minimum hops algorithm which is one of the energy-aware routing, When the characters of the minimum hops algorithm are analysed in detail,multi-path routing, adaptive dynamic routing, routing reliability are designed.Then a new algorithm based on minimum hops in plane routing protocol and a new algorithm based on minimum hops in clustering routing protocol are designed in the thesis.

接著详细介绍了本文的改进路由算法，为实现减少数据的重复发送量、节约能量、延长网络寿命、平衡网络负载的目标，本文以能量感知路由之一的最小跳数算法为基础，详细分析了最小跳数算法的特点，设计了多路径修正路由，自适应动态路由，路由可靠性机制三方面的改进方案，并且结合改进方案设计了基于最小跳数的改进平面路由协议和基于最小跳数的改进分簇路由协议，将两种类型算法的优点相结合，提高网络的健壮性与可扩展性。

Three polygon scan conversion algorithm, the seed fill algorithm, boundary markers algorithm, scan-line algorithm.

详细说明：多边形的三种扫描转换算法，种子填充算法，边界标志算法，扫描线算法。

Based on studying numerous algorithms of automatic mesh generation and concluding their advantages and disadvantages, combined advancing front algorithm, paving algorithm, plastering algorithm and other mesh generation techniques, this dissertation puts forwards a new automatic mesh generation approach, which is an efficient, accurate and simple algorithm for generation of quadrilateral or hexahedral finite element meshes.

本文深入研究了各种有限元网格自动剖分算法，并对各种算法的优缺点进行了分析总结，依据波前法算法的思想，结合Paving算法、Plastering算法和其他网格生成技术，提出了较方便快捷的有限元网格自动剖分算法。

And at same time, a Simultaneous image SR and registration algorithm are presented using Gauss-Newton algorithm. According to this algorithm, we consider unknown HR image and motion parameters vector as one whole and simultaneous estimation using Gauss-Newton algorithm.

同时，提出了一种基于Gauss-Newton算法的同时图像配准和超分辨率算法，该算法将未知高分辨率图像和运动参数向量看为一个整体，采用Gauss-Newton算法同时进行估计。

The hybrid optimization algorithm is employed to solve the models where the membership functions of loan return rates are complex.The algorithm integrates fuzzy simulation,neural network,genetic algorithm and simultaneous perturbation stochastic approximation algorithm.

对于贷款收益率的隶属函数比较复杂的情况，应用集成模糊模拟、神经网络、遗传算法和同步扰动随机逼近算法的混合优化算法求解模型。

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。