* "Copyright (c) 2006 Robert B. Reese ("AUTHOR")" * All rights reserved. * (R. Reese, reese@ece.msstate.edu, Mississippi State University) * IN NO EVENT SHALL THE "AUTHOR" BE LIABLE TO ANY PARTY FOR * DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT * OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF THE "AUTHOR" * HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
上傳時間： 2015-09-24
上傳用戶：mpquest
程序功能：已知一定容量的背包和一定重量、一定個數的物品，背包容量、物品重量和物品個數可以自己設定，要求向背包中裝入物品，使裝入的物品恰好為被包的最大容量。若沒有這樣的物品組合，則輸出“No available combination !”。
上傳時間： 2015-09-28
上傳用戶：水口鴻勝電器
With OpenSSL 0.9.6, a new component has been added to support external crypto devices, for example accelerator cards. The component is called ENGINE, and has still a pretty experimental status and almost no documentation. It s designed to be fairly easily extensible by the calling programs.
標簽： component external OpenSSL devices
上傳時間： 2015-10-01
上傳用戶：ryb
該平臺可以初步實現單片機連接 read.txt 源程序代碼 write.txt 沒有空格換行的源程序 noRemark.txt沒有注釋的源程序 NoEQU.txt 沒有EQU指令的程序 NoRes.txt 還原程序中EQU指代的指令
上傳時間： 2013-12-25
上傳用戶：caozhizhi
The goal of this library is to make ODBC recordsets look just like an STL container. As a user, you can move through our containers using standard STL iterators and if you insert(), erase() or replace() records in our containers changes can be automatically committed to the database for you. The library s compliance with the STL iterator and container standards means you can plug our abstractions into a wide variety of STL algorithms for data storage, searching and manipulation. In addition, the C++ reflection mechanism used by our library to bind to database tables allows us to add generic indexing and lookup properties to our containers with no special code required from the end-user. Because our code takes full advantage of the template mechanism, it adds minimal overhead compared with using raw ODBC calls to access a database.
標簽： recordsets container library ODBC
上傳時間： 2015-10-11
上傳用戶：xlcky
THE SYNTAX OF A PROGRAMMING LANGUAGE tells you what code it is possible to write—what the machine will understand. Style tells you what you ought to write— what the humans reading the code will understand. Code written with a consistent, simple style will be maintainable, robust, and contain fewer bugs. Code written with no regard to style will contain more bugs. It may simply be thrown away and rewritten rather than maintained.
標簽： what PROGRAMMING LANGUAGE possible
上傳時間： 2013-12-16
上傳用戶：sxdtlqqjl
This the industrial enterprise which I develops saves sells thesystem, hoped brings a help to the novice
標簽： industrial enterprise the thesystem
上傳時間： 2015-10-13
上傳用戶：alan-ee
試編寫一程序，比較兩個字符串string1和string2所包含的字符是否相同。如果相同則顯示‘Match’ ，否則，顯示 ‘No match’，同時響鈴提示。
上傳時間： 2013-12-25
上傳用戶：songyue1991
acm HDOJ 1051WoodenSticks Description: There is a pile of n wooden sticks. The length and weight of each stick are known in advance. The sticks are to be processed by a woodworking machine in one by one fashion. It needs some time, called setup time, for the machine to prepare processing a stick. The setup times are associated with cleaning operations and changing tools and shapes in the machine. The setup times of the woodworking machine are given as follows: (a) The setup time for the first wooden stick is 1 minute. (b) Right after processing a stick of length l and weight w , the machine will need no setup time for a stick of length l and weight w if l<=l and w<=w . Otherwise, it will need 1 minute for setup.
標簽： WoodenSticks Description length wooden
上傳時間： 2014-03-08
上傳用戶：netwolf
Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.
標簽： Introduction Classifiers Algorithms introduces
上傳時間： 2015-10-20
上傳用戶：aeiouetla
