本实训是有关线性表的顺序存储结构的应用，在本实训的实例程序中，通过C语言中提供的数组来存储两个已知的线性表，然后利用数组元素的下标来对线性表进行比较。通过对本实训的学习，可以理解线性表在顺序存储结构下的操作方法。 在实训中，我们设A=（a1,a2,…,an）和B=（b1,b2,…,bm）是两个线性表，其数据元素的类型是整型。若n=m,且ai=bi,则称A=B 若ai=bi，而aj<bj,则称A<B；除此以外，均称A>B。设计一比较大小的程序。
上传时间： 2014-01-14
上传用户：www240697738
4bit ALU（运算逻辑单元）的设计 给出了此次设计alu的输入输出结构及相应的位数。其中C0是一位的进位输入，A和B分别是4位的数据输入，S0、S1、M分别为一位的功能选择输入信号；Cout是一位的进位输出，F是4为的运算结果输出。
上传时间： 2013-12-09
上传用户：sevenbestfei
For build this project you can use ant (www.apache.org). Before build project rename file build.properties.pattern in build.properties and set specific for your machine parameters, then start build.bat (for Windows platform) or build.sh (for Linux) in root project folder. After compile process all binary files will be copy into build forlder. For additional information please visit web site http://www.m-g.ru/corba To subscribe on news about MT_DORB send e-mail with subject subscribe to corba@m-g.ru We recommend that you place the MTDORB_UCUtils.dll ( or MTDORB_UCUtils.so for Linux) in the Windows\System directory (or Windows\System32 for WinNT and Win2K and /lib for Linux). Main MTDORB author: Oleg V. Safonov <safonov@m-g.ru>
标签： build project Before apache
上传时间： 2016-08-20
上传用户：zhenyushaw
The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.
标签： Matlab-interfaces inference interface the
上传时间： 2016-08-27
上传用户：gxrui1991
flash 键盘音效取自win2000系统ding.wav，经过CoolEdit处理成音阶，在Flash中导入在相应按钮上。 没有难度，就是耐心一点，成绩不错哦！ 对应表： 低音G-a #G-w A-s #A-e B-d 中音C-f #C-t D-g #D-y E-h F-j #F-i G-k #G-o A-l #A-p B- 高音C-1 D-2 E-3 F-4 G-5 A-6 B-7 C(high)-8 #C-c #D-v #F-b #G-n #A-m
上传时间： 2014-02-06
上传用户：ljmwh2000
一个神经网络的工具箱，用于M a t l a b中
上传时间： 2016-09-28
上传用户：zhanditian
im2dat.m is used to convert images to data which can be plotted using the standard MATLAB functions. This is very handy if you have plots on hardcopy and you want to convert them into data that MATLAB can use. The scanned image can be analysed by this function and the output will allow you to perform any calculation/manipulations that MATLAB can perform, e.g. curve fitting.
标签： functions standard convert plotted
上传时间： 2014-12-07
上传用户：gdgzhym
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
标签： illustrates elimination Gaussian pivoting
上传时间： 2016-11-09
上传用户：wang5829
The "GEE! It s Simple" package illustrates Gaussian elimination with partial pivoting, which produces a factorization of P*A into the product L*U where P is a permutation matrix, and L and U are lower and upper triangular, respectively. The functions in this package are accurate, but they are far slower than their MATLAB equivalents (x=A\b, [L,U,p]=lu(A), and so on). They are presented here merely to illustrate and educate. "Real" production code should use backslash and lu, not this package.
标签： illustrates elimination Gaussian pivoting
上传时间： 2014-01-21
上传用户：lxm
一个基于GTK+的单词数值计算器，1、 按照规则计算单词的值，如果 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 26个字母（全部用大写）的值分别为 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26，如： WINJACK这个单词的值就为：W+I+N+J+A+C+K=23+9+14+1+3+11=71％ HARDWORK=H+A+R+D+W+O+R+D=8+1+18+4+23+15+18+11=98％ LOVE=L+O+V+E=12+15+22+5=54％ LUCK=L+U+C+K=12+21+3+11=47％ ATTITUDE= A+T+T+I+T+U+D+E=1+20+20+9+20+24+4+5=100％ 2、对程序的界面布局参考如下图所示，在第一个单行文本框输入一个单词，点击“计算”按钮，按照以上算法计算出该单词的值。 3、如果在最下面的单行文本框输入一个文件路径，此文件每行记录一个单词，那么经过程序计算出各个单词的值，并把结果输出到当前目录下result.txt文件中。如果文件不存在，应该提示错误。
上传时间： 2014-01-11
上传用户：康郎
