E:\VISUAL C++MFC擴展編程實例 實例35 添加幫助菜單項，在本例中將向應用程序中的H e l p菜單中添加C o n t e n t s和S e a r c h 菜單項。
上傳時間： 2014-01-09
上傳用戶：541657925
E:\Visual_C__MFC擴展編程實例 實例47：等待消息
上傳時間： 2015-10-18
上傳用戶：ma1301115706
E:\Visual_C__MFC擴展編程實例 實例48：清除消息
上傳時間： 2014-01-19
上傳用戶：epson850
E:\Visual_C__MFC擴展編程實例 實例49：向其他應用程序發送消息
上傳時間： 2015-10-18
上傳用戶：極客
E:\Visual_C__MFC擴展編程實例 實例51：使用套接字與任意的應用程序通信
上傳時間： 2014-11-16
上傳用戶：海陸空653
E:\Visual_C__MFC擴展編程實例 實例52：使用串行或并行I/O
上傳時間： 2015-10-18
上傳用戶：lizhizheng88
DOS下查看磁盤扇區的程序, 按A,S,D,W,控制CHS增減,按E, 輸入CHS值,按Q,結束.
上傳時間： 2013-12-24
上傳用戶：tonyshao
書名：基本商業程序的建模 Essential Business Process Modeling (Paperback) 作者： Mike Havey 出版商：O Reilly 1 edition (August 18, 2005) 內容介紹： Ten years ago, groupware bundled with email and calendar applications helped track the flow of work from person to person within an organization. Workflow in today s enterprise means more monitoring and orchestrating massive systems. A new technology called Business Process Management, or BPM, helps software architects and developers design, code, run, administer, and monitor complex network-based business processes. BPM replaces those sketchy flowchart diagrams that business analysts draw on whiteboards with a precise model that uses standard graphical and XML representations, and an architecture that allows it converse with other services, systems, and users.
標簽： Essential Paperback Business Modeling
上傳時間： 2015-10-21
上傳用戶：zhangyigenius
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation.
標簽： R.E. discrete-dat describing published
上傳時間： 2015-10-22
上傳用戶：2404
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.
標簽： R.E. discretedata describing published
上傳時間： 2015-10-22
上傳用戶：a673761058
