Kriging 插值程序，实现二维三维数据插值 Makefile_hp700 Makefile_ibm6000 kriging.mdf kriging.c outboard.c inv_m.tar.gz The inverse MATrix source codes which got from Netlib. f2c.tar.gz The head file and library which are used to inverse MATrix source codes. krig.net The example dx file. data1.dx The input example.
上传时间： 2016-03-27
上传用户：缥缈
法国cromda编写的新版本MATRICE 2（矩阵和矢量运算单元）。 // ---------------------------------------------------------- // 12-01-02 : MODIFIED Matrice to Matrice2 (Delphi 6) // All routines now operate on rectangular MATrix, except (InvMat and SysLin) // No more need to use the InitMat procedure (suppressed) : // - the routines detect automaticaly the dimensions of MATrix and vector // - error code MatDimNul is generated if zero lines or column in MATrix and vector (See DimensionMatrice and DimensionVecteur) // - error code MatMauvDim is generated if the dimensions of MATrix/vector don t allow valid result // - // The result MATrix is dimensioned automaticaly
上传时间： 2014-01-23
上传用户：sy_jiadeyi
单片机的lcd驱动，测试过，MATrix graphic display module driver
上传时间： 2016-04-03
上传用户：qunquan
著名IDAutomation公司的JAVA条码控件源码，支持Code 128, Code 39, Postnet, ITF, UPC, EAN, GS1, Intelligent Mail, Data MATrix & PDF417
标签： IDAutomation JAVA 条码 控件
上传时间： 2014-01-15
上传用户：zl5712176
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The MATrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The point at which a local minimum is achieved is returned as CENTRES.
标签： CENTRES KMEANS OPTIONS cluster
上传时间： 2014-01-07
上传用户：zhouli
Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal ％ component subspace U of dimension PPCA_DIM using a centred covariance MATrix X. The variable VAR contains the off-subspace variance (which is assumed to be spherical), while the vector LAMBDA contains the variances of each of the principal components. This is computed using the eigenvalue and eigenvector decomposition of X.
标签： Probabilistic Components Principal Analysis
上传时间： 2016-04-28
上传用户：qb1993225
EKF-SLAM Simulator This version of the simulator uses global variables for all large objects, such as the state covariance MATrix. While bad programming practice, it is a necessary evil for MatLab efficiency, as MatLab has no facility to avoid gratuitous memory allocation and copying when passing (and modifying) variables between functions. With this concession, effort has been made to keep the code as clean and modular as possible.
标签： Simulator simulator variables EKF-SLAM
上传时间： 2016-05-02
上传用户：lunshaomo
功能：在默认有唯一解的情况下，求出一次方程组的解 使用说明：1.在方程计算器所在目录下新建一个文本文档并另存为“MATrix”（注意文件名的大小写和拼写） 格式： 第一行是未知数个数n 后面每行n+1个用空格隔开的数，表示一个方程 （e.g） 2x+3y-z=6 就输入 2 3 -1 6 2.保存之后双击运行“方程计算器” 3.程序会在目录下生成名为“answer”的文本文档，打开就是答案了。
标签：
上传时间： 2016-05-02
上传用户：xg262122
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check MATrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).
标签： LDPC introduction simulation software
上传时间： 2014-01-14
上传用户：大融融rr
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check MATrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).
标签： LDPC introduction simulation software
上传时间： 2014-12-05
上传用户：change0329
