A Comparative Study on Dynamic and Static Sparsity Patterns in Parallel Sparse Approximate Inverse Preconditioning

Sparse approximate inverse (SAI) techniques have recently emerged as a new class of parallel preconditioning techniques for solving large sparse linear systems on high performance computers. The choice of the sparsity pattern of the SAI matrix is probably the most important step in constructing an SAI preconditioner. Both dynamic and static sparsity pattern selection approaches have been proposed by researchers. Through a few numerical experiments, we conduct a comparable study on the properties and performance of the SAI preconditioners using the different sparsity patterns for solving some sparse linear systems. This revised version was published online in July 2006 with corrections to the Cover Date.     

振动系统的模态分析实验设计

利用模态分析原理和简单试验仪器，得到了直观的悬臂梁和圆盘前4阶模态振型，使学生熟悉了模态分析原理和测试方法，有利于学生对振动规律的理解．     

Flow Search Approach and New Bounds for the m-Step Linear Conjugate Gradient Algorithm

A flow search approach is presented in this paper. In the approach, each iterative process involves a subproblem, whose variables are the stepsize parameters. Every feasible solution of the subproblem corresponds to some serial search stages, the stepsize parameters in different search stages may interact mutually, and their optimal values are determined by evaluating the total effect of the interaction. The main idea of the flow search approach is illustrated via the minimization of a convex quadratic function. Based on the flow search approach, some properties of the m-step linear conjugate gradient algorithm are analyzed and new bounds on its convergence rate are also presented. Theoretical and numerical results indicate that the new bounds are better than the well-known ones.     

Finding Robust Solutions Using Local Search

This paper investigates how a local search metaheuristic for continuous optimisation can be adapted so that it finds broad peaks, corresponding to robust solutions. This is relevant in problems in which uncertain or noisy data is present. When using a genetic or evolutionary algorithm, it is standard practice to perturb solutions once before evaluating them, using noise from a given distribution. This approach however, is not valid when using population-less techniques like local search and other heuristics that use local search. For those algorithms to find robust solutions, each solution needs to be perturbed and evaluated several times, and these evaluations need to be combined into a measure of robustness. In this paper, we examine how many of these evaluations are needed to reliably find a robust solution. We also examine the effect of the parameters of the noise distribution. Using a simple tabu search procedure, the proposed approach is tested on several functions found in the literature. This revised version was published online in August 2006 with corrections to the Cover Date.     

浅析地方公共图书馆存在的问题及对策

目前,一些地方公共图书馆落后的组织结构、管理方式以及淡薄的服务意识,已远远不能适应当前社会的需要。针对地方公共图书馆存在的问题,提出一系列改进措施,旨在使地方图书馆更好地为社会公众服务。     

多媒体网络技术的发展与教学模式的改革

多媒体及网络技术在教学中能有效地提高学生的学习效率,使学生能够采取主动学习,实现创造性学习的目标,并使教学信息双向化,取得更好的学习效果。     

基于时效性的垂直搜索及其应用

基于时效性信息的特征,构建了一个用来提高专业搜索的"查全、准、新率"的垂直搜索引擎. 以航空机票价格为例,分析了时效性信息的获取和过滤技术,并给出了基于时效性垂直搜索引擎的关键程序.     

经济学视角下新闻保护调整模式析论

政府直接管制与基于市场的经济手段在新闻公共政策的调整领域都有其有利的地位,新闻政策的关键在于寻找市场调节与政府直接干预的均衡点,以达到新闻保护与经济发展协调的目的。从外部性、公共产品、信息不对称三个方面从"市场失灵"的角度分析新闻保护问题的法律调整模式,解决新闻领域的问题需要"看的见的手"和"看不见的手"兼而有之。     

高职院校导游业务课程新教学新模式的探讨——以浙江长征职业技术学院旅游俱乐部为例

本文分析了当前高职院校导游业务课程教学中存在的问题,进而探讨导游业务课程教学中改变传统的教学模式的重要性,最后讨论浙江长征职业技术学院的旅游俱乐部模式的运作,通过旅游俱乐部的活动来提高旅游管理专业学生的导游业务技能。     

简析南京临时政府的政权形态

鍗椾含涓存椂鏀垮簻鍦ㄤ腑鍥界涓€娆″缓鏋勪簡姘戜富鍏卞拰鍒跺害,瀵硅タ鏂规皯涓诲叡鍜屽埗搴﹀湪涓浗鐨勮瘯琛屼綔浜嗘湁鐩婄殑鎺㈢储,浣嗗叾鏀挎潈褰㈡€佸苟涓嶅畬澶?鎬荤粺鏉冨姏杩囧ぇ,鍙傝闄㈡病鏈夊脊鍔炬潈,鍙告硶鏉冧篃灏氶』寤虹珛涓庣嫭绔?鍦ㄥ疄闄呰繍琛屼笂,鏀垮簻涓庡弬璁櫌鏈兘浜掔浉鍗忚皟,浠ユ敹鎸囪噦涔嬫晥,琛屾斂鏉冩姂鍘嬬珛娉曟潈,鑰屽弬璁憳鍒?鐙冧簬涓夋潈鍒嗙珛涔嬭,濂芥寔寮傝",鏉熺細鐫€鏀垮簻鐨勮繍琛?