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1.
在学习《C++语言程序设计》的课程中,指针这一章节是一难点,学生往往很难对这一内容掌握及理解。针对这一现象,经过多年的教学经验,对指针的基础知识加以归纳及整理,以方便学生的学习,使学生能快速入门及掌握这一知识点.  相似文献   

2.
C或者C+十是当今最为重要的编程语言,其作为开发工具一向是大软件厂商的必争之地。以往BOrland的产品总被公认略胜一筹。但自93年推出VisualC+十以来,Microsoft渐渐地占了上风,进入96年后,Microsoft又接踵推出了VC++4.0、4.正和4.2版本,使它的竞争优势进一步得到了加强。下面介绍的VC++4.X版的新功能,虽然只是其中的一部分,但仍能对它的强大功能有所了解。DeveloperStudio——既熟悉又陌生的开发环境VC++4.0的最大变化莫过于它采用了一个独立于VC++,又与VC+十紧密集成的新开发环境,即DeveloperStudio。…  相似文献   

3.
模板是C^++中功能最强的特性之一,它允许编程人员只定义一个函数或类的“形状”。本文通过例子介绍了模板的使用,并给出了函数模板,类模板。  相似文献   

4.
DC++是一种具有分布并行设施的面对向对象编程语言。它是由面向对象语言C++向上兼容扩充得到的。本文介绍DC++语言的设计与实现。  相似文献   

5.
静态菜单是我们接触较多的一种形式,即应用程序运行以后,菜单栏中的各菜单项都是固定的,无法修改。而动态菜单则是指在软件运行以后,可以根据用户的需要进行修改、添加和删除某单中的菜单项。要想实现菜单项的动态化,必须解决好这样两个问题,其一是如何实现菜单的动...  相似文献   

6.
本文从MicrosoftC/C++和BorlandC++在编程环境,编程工具,内存模式,关键字,浮点数结构等方面的详细比较,旨在为程序员提供一些资料,帮助编程环境转换。  相似文献   

7.
通过对C++特点的分析,说明C++程序设计的核心问题是“类”的设计,要充分利用C++这方面的优势。  相似文献   

8.
Visual C++和Fortran的混合编程—CASAC软件Windows版的研制   总被引:9,自引:2,他引:7  
计算机辅助筛选生物活性化合物软件(Computer-Aided Screening bioActive Compounds,简称CASAC)是在本实验室开发的用于研究分子 结构和生物活性关系的软件。它最早是在DOS系统下开发的,目前研制这个软件的Windows版本。所用到的两个编程工具是Fortran PowerStation和Visual C 。通过Fortran和C 的混合编程,本文讲述如何用Fortran PowerStation生成动态连接库,Visual C 如何调用所生成的动态连接库及如何调试。  相似文献   

9.
DPC-C++语言是一个支持分布式应用程序设计的面向对象的并发程序设计语言,本文侧重介绍了DPC-C++语言的并发性实现及其程序模型,并简要给出其运行支持系统的设计。  相似文献   

10.
多重继承性是C^++中的一个重要性。本文讨论了多重继承性在特殊化。通信等方面的使用及与类层次的关系,还讨论了多重分类和动态分类,合成类与自然类等问题。  相似文献   

11.
Grids, the TeraGrid and beyond   总被引:1,自引:0,他引:1  
Reed  D.A. 《Computer》2003,36(1):62-68
The correlation, combination, and statistical analysis of large data volumes derived from multiple sources depend on joining a new generation of high-resolution scientific instruments, high-performance computing systems, and large-scale scientific data archives via high-speed networks and a software infrastructure that enables resource and data sharing by collaborating groups of distributed researchers. Scheduled for completion in 2003, the National Science Foundation's TeraGrid, a massive research computing infrastructure, will combine five large computing and data management facilities and support many additional academic institutions and research laboratories in just such endeavors. When operational, the TeraGrid will help researchers solve problems in fields such as genomics, biology, and high-energy physics.  相似文献   

12.
Artificial intelligence (AI) has increasingly gained attention in bioinformatics research and computational molecular biology. With the availability of different types of AI algorithms, it has become common for the researchers to apply the off-shelf systems to classify and mine their databases. At present, with various intelligent methods available in the literature, researchers are facing difficulties in choosing the best method that could be applied to a specific data set. Researchers need tools, which present the data in a comprehensible fashion, annotated with context, estimates of accuracy and explanation. This article aims to review the use of AI in the areas of bioinformatics and computational molecular biology (DNA sequencing). These areas have risen from the needs of biologists to utilize and help interpret the vast amounts of data that are constantly being gathered in genomic research. The underlying motivation for many of the bioinformatics and DNA sequencing approaches is the evolution of organisms and the complexity of working with erroneous data. This article also describes the kind of software programs which were developed by the research community in order to (1) search, classify and mine different available biological databases; (2) simulate biological experiments with and without errors.  相似文献   

13.
《Computer》2004,37(9):48-53
  相似文献   

14.
Heath  L.S. Ramakrishnan  N. 《Computer》2002,35(7):41-45
Fusing computing and biology expertise, bioinformatics software provides a powerful tool for organizing and mining the vast amounts of data genetics researchers are accumulating. As life scientists and computational scientists interact to create useful bioinformatics software systems, several themes or lessons recur. We identify seven themes: the nature of biological data; data storage, analysis and retrieval; computational modeling and simulation; biologically meaningful information integration; data mining; image processing and visualization; and closing the loop  相似文献   

15.
生物文本中蛋白质名称的识别*   总被引:1,自引:1,他引:1       下载免费PDF全文
随着基因和蛋白质序列的发布和分子生物学研究的发展,其相关的数据呈指数级增长,因此如何从海量的相关文献中直接获取生物学家研究领域的相关信息变得迫在眉睫,识别生物文献中的命名实体如蛋白质、基因、脱氧核糖核酸名称等成为生物信息学中信息抽取的最基本任务。介绍了国际同类研究中生物命名实体识别的各种方法,重点介绍了蛋白质名称识别的相关方法、所用资源、实验结果及与国际同类研究的比较结果。  相似文献   

16.
The ongoing rapid growth of diversity of data and their wide use to solve different complex tasks requires more sophisticated techniques of knowledge management and automated reasoning. Recent research efforts resulted in a significant number of semantic reference systems enriched with vocabularies, thesauri, terminologies, and ontologies. The extensive use of ontologies in the mainstream computer science has spread to many other branches of knowledge. These branches are included in a new approach to building modern intelligent systems, reusing and sharing pieces of declarative knowledge.In the meanwhile, a lot of effort has been made to produce standard ontologies for medicine and biology.This paper brings an overview and presentation of the state of the art in terminologies, ontologies and important resources/systems and tools for industry and academia in medicine and biology. It could be useful for researchers involved in multidisciplinary and interdisciplinary research areas and projects that include medicine, biology, and information technology.  相似文献   

17.
人脑功能网络的研究是近十年生物学领域的重要课题,可视化工具作为数据分析的重要手段,在脑科学研究中有着举足轻重的地位;然而现有的脑功能网络可视化工具存在信息获取效率低、功能单一等问题;针对以上问题,设计并实现了一款用于脑网络连接加权图比较的可视分析系统,帮助研究人员探索不同群组间的差异;首次提出并使用一种用于脑网络连接加权图比较的新可视化方法,针对该方法的用户评估表明,改进后的可视方法在做对比分析任务时更有效;此外,系统将数据挖掘与可视化相结合,增强了群组间差异的表现形式;并且提供了多视图协同等一系列交互方式供研究人员自主探索;最后使用了两组公开数据集进行案例分析,验证了系统的有用性和高效性.  相似文献   

18.
Knowledge management in biomedical libraries: A semantic web approach   总被引:1,自引:0,他引:1  
In recent years, technological advances in high-throughput techniques and efficient data gathering methods, coupled with a world-wide effort in computational biology, have resulted in an enormous amount of life science data available in repositories devoted to biomedical literature. These repositories lack the ability to attain an effective and accurate search. Using semantic technologies as the key for interoperation enables searching and processing of biomedical literature in a more efficient way. However, emerging semantic applications take for granted specific knowledge that biomedical researchers may not have. This paper presents design principles for easy-to-use biomedical semantic applications by means of ontology-based annotations and faceted search. The proposed approach is backed with a usable prototype that shows the breakthroughs of adding these principles to a biomedical digital library where identifying and searching information are critical aspects for non-semantic Web experts.  相似文献   

19.
DNA计算的研究进展及展望   总被引:3,自引:1,他引:3  
DNA计算是在计算科学和分子生物学的基础上发展起来的一个新颖而极具发展潜力的学科。由于它具有信息处理的巨并行性、低耗能以及高存储密度等特点,DNA计算已被广泛应用于解决各种复杂性计算问题以及模拟电子计算机进行四则运算。DNA计算机的研制也正在向着实用化阶段迈进。综述了当前DNA计算的运行机理与计算模型,重点讨论了当前研究的热点与难点问题,并对未来的发展进行了展望。  相似文献   

20.
Zhirnov  V.V. Herr  D.J.C. 《Computer》2001,34(1):34-43
In the quest for new semiconductor materials and processes, researchers focus on self-assembly, a concept that draws from diverse disciplines like chemistry, biology, material science, and electrical engineering. The following areas are examined: information theory; thermodynamics, synergetics and self-assembly; ribosome based lithography; nanofabrication by self-assembly; molecular electronics; and smart matter  相似文献   

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