PC Market in 1997

1997年PC市场中,联想制造超30万台PC占大头,IBM、HP、康柏也是市场强者,而同创、方正、长城等国产品牌制造水平较低。中国是潜力大市场,未来懂中国用户需求者将赢市场,国产PC企业有望保持领先。

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                                                                              PC Market in 1997

    From the table we can see Legend Group Manufactured more than 300 thousand units of PC in 1997, occupying the lion's share in the PC market. Following it are IBM, HP, and Compaq, which are the strong powers in PC market. By contrast, the well-known Chinese brands, such as Tontru, Founder, and Great Wall were still at low level of manufacturing last year.
    It is clear that China is a large potential market for all the PC manufaturers. In the future, the one who can fully understand the needs of Chinese users will win the market at last. According to the table, the national PC company Legend will continue to be No. 1 position in the market share. And maybe the foreign brands will take some market share but the national PC companies will still hold the leading position, because they really know what kind of PC and at what price the Chinese want to buy personal computers.
资源下载链接为: https://pan.quark.cn/s/9e7ef05254f8 行列式是线性代数的核心概念,在求解线性方程组、分析矩阵特性以及几何计算中都极为关键。本教程将讲解如何用C++实现行列式的计算,重点在于如何输出分数形式的结果。 行列式定义如下:对于n阶方阵A=(a_ij),其行列式由主对角线元素的乘积,按行或列的奇偶性赋予正负号后求和得到,记作det(A)。例如,2×2矩阵的行列式为det(A)=a11×a22-a12×a21,而更高阶矩阵的行列式可通过Laplace展开或Sarrus规则递归计算。 在C++中实现行列式计算时,首先需定义矩阵类或结构体,用二维数组存储矩阵元素,并实现初始化、加法、乘法、转置等操作。为支持分数形式输出,需引入分数类,包含分子和分母两个整数,并提供与整数、浮点数的转换以及加、减、乘、除等运算。C++中可借助std::pair表示分数,或自定义结构体并重载运算符。 计算行列式的函数实现上,3×3及以下矩阵可直接按定义计算,更大矩阵可采用Laplace展开或高斯 - 约旦消元法。Laplace展开是沿某行或列展开,将矩阵分解为多个小矩阵的行列式乘积,再递归计算。在处理分数输出时,需注意避免无限循环和除零错误,如在分数运算前先约简,确保分子分母互质,且所有计算基于整数进行,最后再转为浮点数,以避免浮点数误差。 为提升代码可读性和可维护性,建议采用面向对象编程,将矩阵类和分数类封装,每个类有明确功能和接口,便于后续扩展如矩阵求逆、计算特征值等功能。 总结C++实现行列式计算的关键步骤:一是定义矩阵类和分数类;二是实现矩阵基本操作;三是设计行列式计算函数;四是用分数类处理精确计算;五是编写测试用例验证程序正确性。通过这些步骤,可构建一个高效准确的行列式计算程序,支持分数形式计算,为C++编程和线性代数应用奠定基础。
我帮你复制它的首页内容: The Client/Server Solution for Mission Critical Transaction Processing The System The need for PC-based, networked, mission-critical transaction processing applications becomes more pressing each year, but good solutions are not easy to find. Today's offerings in the desktop client/server market either cannot handle the performance and reliability needs of mission critical applications, or are overly expensive to develop and maintain. That's why we created TxServer. Specifically designed for high performance transaction processing, it is running today on hundreds of servers and thousands of clients worldwide. Customers depend on it for mission critical applications that include order processing, real-time monitoring, inventory control, billing, pharmacy sales, and many others. Users find TxServer to be a complete and cost-effective solution, with the additional benefits of rapid application development, high performance and data integrity, and lower system administration and support costs. Architecture TxServer's unique architecture tightly binds the client application to the server, all the way from application development through application modifications, and finally to delivered operational runtime. TxServer delivers application development and runtime, communications, and server management in a single integrated package. The benefits of this architecture begin during application development, where the path from system requirements to completed application is fast and smooth. At runtime, the close co-operation between client and server delivers superior performance. Equally importantly, system integration and support costs are substantially lower, since it is not necessary to integrate software from many different vendors. When application requirements change, TxServer tracks application version tightly, guaranteeing that the application delivered to the field always matches the customer's database in the field. Performance TxServer delivers true client/server distribution of workload, with processing properly shared between client and server. Clients process applications, while the server handles transaction management, communications, and database management, all with pre-emptive multithreaded multitasking. This lets the clients perform application calculations at the same time data requests are being processed in the server. Demand paging of the application into the client dramatically improves performance. And if this client-based performance is still not enough, TxServer allows up to 512 "drone" application processes to run in the background (in the server or slave server), doing batch processing or special event-driven tasks. "The development cycle is far shorter than with other products, because TxServer automatically deals with so many of the issues - like concurrency control, setting relations, and data integrity - which have to be programmed in with other approaches. And it's a complete system for deployment and field maintenance, so you don't have any of the typical problems of trying to work with other front ends, back ends, and tools from different vendors like you would with other systems." Value-Added Reseller Contact us for further information.
08-09
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