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Description: IBM VisualAge C++ Professional for AIX
C/C++ Language Reference
Version 6.0-IBM VisualAge C Professional for AIX C / C La nguage Reference Version 6.0
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Size: 1051049 |
Author: Tianliang Liu |
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Description: Prim 算法寻找最小生成树，用C语言实现，有完整的注释！-Prim algorithm to find the minimum spanning tree, using C language, a complete Notes!
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Size: 1024 |
Author: gao |
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Description: IBM VisualAge C++ Professional for AIX
C/C++ Language Reference
Version 6.0-IBM VisualAge C Professional for AIX C/C La nguage Reference Version 6.0
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Size: 1050624 |
Author: Tianliang Liu |
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Description: 一：排列的的规程序
二：迷宫程序
三：对于输入的任意一个非负十进制整数，打印输出与其等值的八进制数
四：利用模式串T的next函数求T在主串S中第pos个字符之后的位置的KMP算法
五：将所有在线性表Lb中但不在La中的数据元素插入到La中
-1: order of the regulatory process II: the maze III procedure: For any input a non-negative decimal integer, print output and its equivalent octal number four: the use pattern of the next function of T for T in the main string of S in the first pos characters after the location of KMP Algorithm 5: Table of all online Lb in La but not the data elements inserted into the La in
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Size: 12288 |
Author: 沈亚方 |
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Description: 餐厅点菜系统的源代码,是面象对面软件工程的课程设计,对你们一定有用-Restaurant a la carte system source code, is like the opposite side of software engineering, curriculum design, will certainly be useful to you
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Size: 4076544 |
Author: |
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Description: 杜里特尔分解法.c改进平方根法.c拉格朗日插值法.cpp牛顿迭代.cpp梯形法积分.cpp追赶法.c
杜里特尔分解法.c改进平方根法.c拉格朗日插值法.cpp牛顿迭代.cpp梯形法积分.cpp追赶法.c-Duri Ritter decomposition. C to improve the square root law. C Lagrange interpolation method. Cpp Newton iteration. Cpp trapezoidal integration method. Cpp law to catch up. C Duri Ritter decomposition. C to improve the square root law. C la granges interpolation. cpp Newton iteration. cpp trapezoidal integration method. cpp law to catch up. c
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Size: 3072 |
Author: 李梓钺 |
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Description: securité du systéme d exploitation linux :
Introduction
La sécurité physique
La sécurisation du processus d’amorç age
Le BIOS
Les principes fondamentaux relatifs au système et à l’utilisateur
La sécurité du réseau TCP/IP
La sécurité du système de fichiers
Les avantages à tirer des PAM
L’utilisation de ipchains pour le routage et la mise en place d’un pare-feu
Les pare-feu et le routage avec iptables
La sécurité d’Apache et des services FTP et SMTP
La sécurité réseau: DNS avec BIND
La sécurité réseau: NFS et SAMBA
Le chiffrement des flux de données
Conclusion
-securité du systéme d exploitation linux :
Introduction
La sécurité physique
La sécurisation du processus d’amorç age
Le BIOS
Les principes fondamentaux relatifs au système et à l’utilisateur
La sécurité du réseau TCP/IP
La sécurité du système de fichiers
Les avantages à tirer des PAM
L’utilisation de ipchains pour le routage et la mise en place d’un pare-feu
Les pare-feu et le routage avec iptables
La sécurité d’Apache et des services FTP et SMTP
La sécurité réseau: DNS avec BIND
La sécurité réseau: NFS et SAMBA
Le chiffrement des flux de données
Conclusion
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Size: 495616 |
Author: faaa |
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Description: 跨平台C++网络游戏，永恒大陆（eternal land)的源代码，vc下编译可以通过-Cross-platform C++ online games, Eternal mainland China (eternal land) of the source code, vc compiled by
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Size: 4420608 |
Author: lhy |
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Description: Day la cac bai giang ve viec su dung pic
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Size: 91136 |
Author: Hoa |
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Description: Para el sistema de la Figura 14 (suponga un SLI e inicialmente en reposo), determine:
a. La ecuación diferencial
b. La función de transferencia
c. La representación en variables de estado empleando la Forma Canónica Controlable
d. La representación en diagramas de bloque empleando las ecuaciones de estado y de salida obtenidas en el literal c.
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Size: 27648 |
Author: Envipin |
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Description: n次拉格朗日插值计算公式编程实现,是用c++语言编写的，希望研究生同学们踊跃下载，数值方法里的课后题-Lagrange interpolation formula n times
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Size: 3072 |
Author: yy |
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Description: Anexo 20 del SAT del 23 de Septiembre, vigente para el 2011 CFDI y C-Anexo 20 del SAT del 23 de Septiembre, vigente para el 2011 CFDI y CBB
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Size: 875520 |
Author: Ernesto |
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Description: 不错的播放器，纯C++实现啦啦啦，不错的，自己下载-Good player, pure C++, la la la, nice, download their own look
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Size: 137216 |
Author: caoronghe |
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Description: dsPIC30F3014的IIC读写C程序源代码，通过ICD3编程器测试。-dsPIC30F3014 the IIC to read and write C program source code, programmer by ICD3 test.
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Size: 39936 |
Author: 苏星辰 |
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Description: application pour la creation de liste sous vusual studio 2008
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Size: 41984 |
Author: sogi |
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Description: C-moyenne floue (La méthode C-moyenne floue (ou fuzzy C-mean)
est une méthode de classification itérative qui permet
de classifier les individus selon C classes )
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Size: 1024 |
Author: |
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Description: LIFE GAME
Go fullscreen window
Use mouse to move and zoom
Use arrows and space to place dots
Use tab to play or pause
Use F1, F2, F3... to draw figure
enjoy
c++
http://en.wikipedia.org/wiki/Conway s_Game_of_Life
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Size: 6394880 |
Author: bawzz |
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Description: The p erceptro n algo rithm ceases to update the para meters only when all the training
images ar e classified corr e ctly (no mistakes, no update s). So, if the training images are
p ossible to clas sify co rrectly with a linear c la ss ifier, will the p erceptr on al gorithm find such
a classifier? Yes , it does, and it w ill co nverge to such a classifier in a finite numb er of
updates (mistakes ). We’ll sho w this in lectur e 2.-The p erceptro n algo rithm ceases to update the para meters only when all the training
images ar e classified corr e ctly (no mistakes, no update s). So, if the training images are
p ossible to clas sify co rrectly with a linear c la ss ifier, will the p erceptr on al gorithm find such
a classifier? Yes , it does, and it w ill co nverge to such a classifier in a finite numb er of
updates (mistakes ). We’ll sho w this in lectur e 2.
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Size: 89088 |
Author: jacobjacobjacob17 |
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Description: Li near r egr essi on, acti ve learning
We arriv ed at the lo gistic regression model when trying to explicitly model the uncertainty
about the lab els in a linear c la ss ifier. The same genera l modeling approach p e rmits us to
use line ar predictio ns in var ious other co ntexts as well. The simplest of them is regress ion
where the go al is to pr e dict a con tin uous resp onse y
t ∈ R to e ach example ve ctor. Here
to o fo cusing on linear predictions won’t b e inherently limiting as linear predictions can b e
easily extended (ne xt lecture). -Li near r egr essi on, acti ve learning
We arriv ed at the lo gistic regression model when trying to explicitly model the uncertainty
about the lab els in a linear c la ss ifier. The same genera l modeling approach p e rmits us to
use line ar predictio ns in var ious other co ntexts as well. The simplest of them is regress ion
where the go al is to pr e dict a con tin uous resp onse y
t ∈ R to e ach example ve ctor. Here
to o fo cusing on linear predictions won’t b e inherently limiting as linear predictions can b e
easily extended (ne xt lecture).
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Size: 157696 |
Author: jacobjacobjacob17 |
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Description: Programming C++, Hong Thai Pham
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Size: 1835008 |
Author: tabien2510 |
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