using lapack

NumPy is a Python library for scientific computing and is often used in fields such as data mining or machine learning or scientific statistics .In the actual business, in order to play NumPy's high performance, when compiling numpy, it relies on

Although I only wrote two test examples, I think other functions are similar in use. The interfaces of the functions provided by the function are very consistent. For example, the first parameter of each function is matrix_order, the number of

The package is a high-performance linear Algebra computing library, and two packages are generally interdependent, so choose to also describe their installation:The official release is now lacpack-3.5.0.tgz, and the access method is the URL. But not

LAPACKLAPACK, short for Linear Algebra PACKage, a high-performance Linear Algebra library, home http://www.netlib.org/lapack. 1. Installation LAPACK is written in fortran. LAPACKE is its C language interface. If LAPACK is installed first and then

MINGW Basic Configuration EnvironmentCompiling the installationScenario One: MinGW makefilesMy configuration is not Mingw32-make.exe after the MinGW folder, using mingw-get install mingw32-make command installation is not effective, only to download

After trying to write a program to solve the problem, I began to find a variety of libraries on the Internet to solve the feature values and feature vectors, especially the feature values of large-scale sparse matrices, the problem of generalized

Refer to the http://www.cnblogs.com/weizhoupan/archive/2011/03/08/1977366.html compiled installation, because the compilation process encountered some problems, the experience to summarize their own!One, bundler source package accessUsing the source

 Long story short Suppose we are using the latest release, 1.9.9.9, which does not support linear algebra anymore in its PowerPack. but linear algebra is supported before in 1.9.7.8. under its bin \ folder, there is a DLL named FSharp. powerPack.

Installing the scientific computing package numpy and SciPy in Python In Python, the installation of most toolkit is very simple. You only need to execute the "python setup. py install" command. However, the installation process is complicated due

In Linux, The PETSc installation and configuration-general Linux technology-Linux programming and kernel information. For more information, see the following. After several days of exploration, Ren Zhigang and I finally tried the PETSc configuration