搜索资源列表
cpplapack-2005_03_25.tar
- lapack的c++版本之一.lapack是imsl,mkl,matlab等大部分数值计算的使用者.最早是for77的,后来出现c++,java等的.-lapack one of the c version. Lapack is imsl, mkl. Matlab, and most numerical calculation users. The first was for77, subsequently c, java and so on.
MKL4SparseLinearSystem
- 用MKL求解稀疏线性系统,里面有使用说明。-use null for sparse linear systems, which are usage instructions.
PrincipalComponentsAnalysis
- 这个代码是主元素分析的代码,里面有使用MKL计算特征值特征向量的方法。-This code is the main element analysis codes, which are used to calculate eigenvalues null eigenvector methods.
twofish.ps
- jtyjkyukuyilkb n, njhm,.jk.kl/mkl /mlp jklp /jkl.jklkjljklyui6t7ift6urujctrf6u-jtyjkyukuyilkb n, njhm. .jk.kl / mkl / mlp jklp / jkl.jklkjljklyui6t7if t6urujctrf6u
GotoBLAS.传说中最快的数值计算包
- 传说中最快的数值计算包。据说比Intel MKL还快。很多源码都采用了汇编编写,Legend of the numerical calculation of the fastest package. Reportedly faster than the Intel MKL. A lot of compilation of source code has been adopted to prepare
cgeev0
- 调用mkl的矩阵求本征值和本征函数,并得到计算时间-Call MKL for caculate the matrix s eigenvalue and eigenfunction,and get the efficiency
mkltest
- 利用intel的矩阵运算库mkl实现矩阵的运算,利用vc2008实现。-Use of intel mkl library implementation matrix operation matrix operation, using vc2008 achieved.
hyperspectral
- Field: Digital Image Processing i)Reading Hyperspectral Images ii) Reshaping the input images ii) Singular value decomposition using C , Intel OpenCV and Intel MKL
MKLSVM
- 用于文本分类的多核SVM算法研究.rar-MKL SVM
kerneladatron
- kernel adatron, svm impelemtation using gradient ascent method, fast and accurate for solving SVM problem with two classes
MKL_Overview
- 利用Intel MKL实现矩阵相乘的几个程序;另外一个是MonteCarlo方法的用多线程计算Pi的程序-Matrix multiplication based on Intel MKL library.
C_MKL_test
- VC下调用Inter MKL数学库的例子-Cut MKL system using VC example of mathematics libraries
MKL-DR
- MULTIPLE KERNEL LEARNING FOR DIMENSIONALITY REDUCTION
SKMsmo
- Multiple Kernel Learning (MKL) code by F. Bach, G. Lanckriet, and M. Jordan 说明:matlab文件,原地址http://www.stat.berkeley.edu/~gobo/SKMsmo.tar已失效。-Multiple Kernel Learning (MKL) code by F. Bach, G. Lanckriet, and M. Jordan
lib-mkl
- Multiple kernel learning is a model to merge multiple kernels by linear combination. Mostly solving the models are slow due to explicit computation of kernels. Here, we propose to approximate kernel map function explicitly in finite dimensional sp
pardiso_unsym_c
- 利用Intel mkl求解线性方程组的例子,其中调用了pardiso函数,特别适合快速求解稀疏线性方程组-Intel MKL for solving linear equations with examples, which calls pardiso function, particularly suitable for fast sparse linear equations
MKL
- mkL 多核学习,介绍的很详细,附有论文地址,包括所有相关的代码-mkL multicore study, described in great detail, with papers address, including all related code
examples_core_f
- MKL库使用案例,包含了常用的数值计算的函数和案例,很好的工程计算入门代码。(MKL library use cases, including the commonly used functions and cases of numerical calculation, good engineering calculation entry code.)
smo-mkl
- 多核学习+SMO算法的代码实现,包括java版本、python版本和C++版本(Multiple Kernel Learning and the SMO Algorithm)
pardiso
- Intel MKL库自带大规模稀疏矩阵求解器(Large-scale sparse matrix solver by Intel MKL library)