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Xerces-J-tools.1.2.0
- Xerces是一个开放源代码的XML语法分析器。 Xerces-C++ 的前身是 IBM 的 XML4C 项目。XML4C 和 XML4J 是两个并列的项目,而 XML4J 是 Xerces-J——Java 实现——的前身。IBM 将这两个项目的源代码让与 Apache 软件基金会(Apache Software Foundation),他们将其分别改名为 Xerces-C++ 和 Xerces-J。注:“Xerces-C”和“Xerces-C++”是同一个东西。-Xerces is an
FMINCON
- C=CURVEFIT( 拟合模型 ,参数C初值,X数据,Y数据) 求参数C使得 sum {(FUN(C,X数据)-Y数据).^2}最小化-C = CURVEFIT ( fitting model and parameter C, initial X, Y data) for data parameters that sum {there (C) (C, X-ray data- Y j ^ 2) minimizing}
lucene-core-2.9.1.jar
- Lucene2.9.1核心包core 开发必备-Lucene2.9.1 development of essential core core package
NUnit-2.5.8.10295-src
- NUnit是一个单元测试框架,专门针对于.NET来写的.其实在前面有JUnit(Java),CPPUnit(C++),他们都是xUnit的一员.最初,它是从JUnit而来.现在的版本是2.2.接下来我所用的都是基于这个版本. NUnit最初是由James W. Newkirk, Alexei A. Vorontsov 和Philip A. Craig, 后来开发团队逐渐庞大起来.在开发过程中, Kent Beck 和Erich Gamma2位牛人也提供了许多帮助.看来对于NUnit还真是下了
Electronics-and-Circuit-Analysis-Using-MATLAB---J
- The book can be used by students, professional engineers and technicians. The first part of the book can be used as a primer to MATLAB. It will be useful to all students and professionals who want a basic introduction to MATLAB. Parts 2 and 3 a
Xerces-J-src.2.10.0
- 有关Xerces的源代码 Xerces-J-src.2.10.0-For the source code of Xerces Xerces-J-src.2.10.0
RGB-and-HIS
- HIS与RGB的转换 lpsrc=(unsigned char*)lpDIBBits+lLineBytes*(lHeight-1-i)+3*j b=*lpsrc lpsrc=(unsigned char*)lpDIBBits+lLineBytes*(lHeight-1-i)+3*j+1 g=*lpsrc lpsrc=(unsigned char*)lpDIBBits+lLineBytes*(lHeight-1-i)+3*j+2
Redraimen
- 主算法就是费波纳西数列,即Fib[j]=Fib[j-1]+Fib[j-2] 由于从地第0阶到第N阶的总共方法就是服从费波纳西数列的,故可以用该算法求出总共的方法数。用一个数组Redr[]接收输入数据,即用while循环实现数据输入,用for循环实现费波纳西数列即Fib[]数组,用Fib[]数组对Redr[]数组中的每个数据成员进行求总的方法数,然后用remember[]数组存储每组输入数据的总方法数,最后用for循环输出-Main algorithm is Feibonaxi series th
Gradient
- 采用理查森外推法计算标量函数梯度的程序(很容易改写为计算雅克比矩阵),算例为sin(x)+cos(y)。richarson(fun,x0)中,h是初始步长,j是迭代次数,精度是2*j+2阶。-Scalar function gradient procedures using Richardson extrapolation method, in the function richarson (fun, x0), h is the initial step, j is the number of
Xerces-J-bin.2.11.0
- 用于进行Wsdl的文档的解析,是由阿帕奇公司制作的,-Wsdl used for parsing the document is produced by the Apache Corporation,
json-lib-2.2.2-jdk15.jar
- json对跨项目的传输数据有着很好的封装,项目之间只需要JsonArray.ForObject(Obejct o)格式化json格式进行传输-json to transfer data across the project has a very good package, just between projects JsonArray.ForObject (Obejct o) transmission format json format
sequence-alignment-matrix-
- 求解序列比对得分矩阵,对于两个序列S和T,令[S]和[T]分别为序列S和T的长度,S[i]和T[j](其中正整数i,j满足0≤j< [S]和0≤j <[T])都属于字符集Ω={A,T,C,G,-},对Ω中的任何元素和空符号。 设计S[i]和T[j]两两之间的一个记分值来比较序列间的同一性的优劣,用记分函数σ(x,y)表示, σ(S[i],T[j])=2 ( S[i]=T[j]≠-);σ(S[i],T[j])= -1 ( S[i]≠T[j],S[i]≠-,T[j]≠-);σ(S
2
- 给定一个N*N 的方形网格,设其左上角为起点◎,坐标为(1,1),X轴向右为正,Y轴向下为正,每个方格边长为1。一辆汽车从起点◎出发驶向右下角终点▲,其坐标为(N,N)。在若干个网格交叉点处,设置了油库,可供汽车在行驶途中加油。汽车在行驶过程中应遵守如下规则: (1)汽车只能沿网格边行驶,装满油后能行驶K 条网格边。出发时汽车已装满油,在起点与终点处不设油库。 (2)当汽车行驶经过一条网格边时,若其X 坐标或Y 坐标减小,则应付费用B,否则免付费用。 (3)汽车在行驶过程中遇油库则应
Attia-J.O.-Electronics-and-Circuit-Analysis-Using
- The goals of writing this book are (1) to provide the reader with simple, easy, hands-on introduction to MATLAB (2) to demonstrate the use of MATLAB for solving electronics problems (3) to show the various ways MATLAB can be used to solve ci
J-Link_UG_V3.2
- J-Link User Guide,detailed descr iption of the main function. -J-Link User Guide,detailed descr iption of the main function.
qpsk_g_r-
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
lab1
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
lab2
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
lab3
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
JAVA-experiment-2
- 1、掌握数组的定义、初始化与使用。初始化5X5的二维int类型数组,并将其转置(转置后数组的第i行,第j列的元素应该和原数组的第j行第i列的内容相同)-A grasp of the array definition, initialization and use. Array initialization 5X5 two-dimensional type int, and array transpose (transpose the i th row, j-th column element s