在算法上

In this paper, an extended divide and conquer algorithm is intended proposed, which is for solving the real symmetric band generalized eigenvalue problem under distributing environment Eigenvalue partition theorem is presented and proved Based on divide and conquer by extension, this algorithm computes generalized eigenpaires of symmetric band matrix pencil by bisection and generalized Rayleigh quotient iteration Theoretic analysis and numerical results show that this algorithm is better than the classic software package LAPACK when bandwidth is small and the scale is large Combined with multisection, which has good parallelism, it got good effects under distributed environments

提出了分布式环境下计算对称带状广义特征值问题的一种扩展分治算法，给出了特征值分割定理及其证明算法在扩展分治的基础上，利用二分压缩结合广义Rayleigh商迭代计算广义特征对理论分析和数值实验表明，对于窄带宽大规模的广义特征值问题，该分治算法明显优于LAPACK软件包结合并行性好的多分法，在分布式环境下获得了很好的并行效果1 引言本文研究了对称带状广义特征值问题Ax =λBx ( 1)的并行计算，其中，A ，B均为半带宽为r的n阶实对称带状矩阵且其中之一是正定的本文总假设B是正定的求解此问题有两种传统方法，第1种方法是通过计算矩阵B的Cholesky分解，将问题( 1)转化为标准特征值问题[1～3] ，进一步

For the bottom-up attention process, areas of interest that deserve visual attention are formed by a sequentially extracting of feature map, conspicuity map, and interesting map. Firstly, based on Treisman's feature integration theory and the characteristics of orientation and frequency selective nerve cells in biological cortex, we propose a new 2D optimal quadrature filter in the meaning of minimum energy loss to extract intensity, edge, orientation, symmetry, curvature and comer features to form the feature maps. Then based on the local competent and global cooperative perception character of biological vision, we design a kind of competent/cooperative filter and use a set of such filters to extract conspicuous locations that will most likely to cause visual attention from feature maps to form conspicuity maps.

我们根据Treisman〓的特征整合理论，结合生物视觉皮层的方向、频率敏感性神经元，提出采用一组调制在不同尺度和方向上的新的最佳正交特征滤波器并行地提取图象的亮度、边缘、方向、对称性、曲率和角度等特征作为注意线索，构成特征图；在此基础上，基于生物视觉的局部竞争和全局协作特性，本文设计了一种竞争协作滤波器用于从特征图中提取可能引起视觉注意的显著位置构成显著图，各显著图进一步通过本文提出的融合算法和非线性松弛迭代算法生成自底向上兴趣图。

In this paper we discuss the optimal approximation of matrices and its numerical algorithm on some closed convex cone .

讨论矩阵在闭凸锥上的最佳逼近及其数值算法，在对称半正定矩阵集上，给出了最佳逼近数值算法的MATLAB程序和数值例子。

Based on the algorithm, the implementation on ZSP500 DSP core and process in program are described.

本文在进行算法分析的基础上，阐述了8PSK的较长TFCI译码算法在ZSP500 DSP核上的实现，并给出了程序实现步骤。

Based on the research work of basic theories including phase space reconstruction,embedding theorem,correlation dimension,local dynamics,Lyapunov exponents,surrogate data etc,based on the research work of general methods such as principal component analysis,correlation dimension GP algorithm,false neighbors method,nonlinear time series prediction,local prediction, adaptive prediction,neural network model,support vector machines regression model, prediction power,nonlinear detection,coarse-graining methodology,conditional entropy and so on,the framework of nonlinear time series analysis are constructed.

在对包括相空间重构、嵌入定理、关联维数、局部动力学、Lyapunov指数、替代数据(来源：A97BC论文网www.abclunwen.com)、等基本理论与其物理意义的研究和讨论基础上；在对包括主分量分析、关联维数GP算法、伪邻近点法、非线性时间序列预测、局域预测、自适应预测、神经网络模型、支持向量回归模型、预测效果、非线性检测、粗粒化方法、条件熵等非线性时间序列一般分析方法的原理和算法研究基础上；构建了新的非线性时间序列分析的理论体系，归纳总结了非线性时间序列分析的基本问题和主要研究方面。2。

Firstly, we introduce the technology of seismic geometric attribute for fault identification detailedly at home and abroad. Secondly we study the coherence, texture,curvature attribute and tricolor display technology of RGB to identify fault; In the part of coherence,we compare the traditional algorithms with model and actual data,mainly study the geometric structural tensor and wavelet multi-scale sub-frequency coherent algorithm; In the part of texture attribute, we introduce texture energy, texture contrast, texture entropy and texture homogeneity attribute.By merging texture attributes of different directions,the effect are more clear; In the part of curvature attribute,we study and analyze fractional-order curvature attribute's extraction and its application in fault identification; The RGB display technology mainly introduces how to merge multi-attributes in order to getting more richer and more clearer information.

首先具体先容了地震几何属性识别断层技术的国内外研究现状；然后分别研究了相干属性、纹理属性、曲率属性和RGB三原色显示技术来识别断层；其中相干属性通过模型和实际资料对传统相干体算法进行了对比，重点研究了几何结构张量相干体算法和小波多标准分频相干体算法；纹理属性主要先容了纹理能量、纹理对比、纹理熵和纹理一致性属性，通过对不同方向的纹理属性进行融合，效果更清楚；曲率属性重点分析了分波数曲率属性提取及其在断层识别中的应用；RGB三原色显示技术则主要先容了如何进行多属性融合来或得更丰富、清楚的信息，在此基础上开发了基于。

Then the general algorithms of symbol drawing is introduced, a circulating block line entity drawing algorithms and a polygon entity fill algorithms based on seed fill are developed.

接着对地图符号在GIS系统中绘制空间实体的通用算法进行介绍，并在此基础上提出基于装饰模式的线符号的循环块算法和改进种子填充的面符号填充算法。

The paper proves that the search process of the non-crossover genetic algorithm is an ergodic homogeneous Markov Chain. The proof of global convergence of NCGA is presented is this paper. The upper bound of convergence speed of the NCGA is the same as the CGA. The possibly of retain the promising genes of NCGA is larger than CGA.

对于本人可以找到的32种典型的非线性优化测试函数，应用无交叉算子遗传算法，与基于经典遗传算法相比，在相同的进化代数的条件下，NCGA同样取得了略优的收敛速度，在相同CPU计算时间上NCGA也取得略优的结果； 3 提出了复合算子遗传算法。

Based on the concepts of complex product, standard operation, virtual operation, no-wait and the expansion processing tree defined in this paper, the standard operations are processed by allied critical path method and best fit scheduling method, and the virtual operations are processed respectively on corresponding machine with movement and exchange algorithm in order to translate scheduling problem with no-wait operations into the general scheduling problem with virtual operations.

该方法在提出复杂产品、标准工序、虚拟工序、零等待和扩展加工工艺树的概念基础上，对扩展加工工艺树中的标准工序采用拟关键路径法和最佳适应调度的车间调度算法进行调度，对虚拟工序采用移动交换算法在相应设备上分离调度，将存在零等待约束的调度问题转化为存在虚拟工序的无零等待约束的调度问题。

According to characters of projective view an algorithm for the removal hidden lines from engineering drawing is presented. The presented algorithm removes hidden lines by sorting display planes according to thire depth and selecting area operation of projective polygon.

在微机环境下，开发了一个图形显示、人机交互的图形原型系统；在基于物空间APPEL算法基础上进行改进，设计和实现了一个零件实体模型的隐线消除算法、简单光照模型下的浓淡图生成算法。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。