lapack | 易学教程

Undefined reference to LAPACK and BLAS subroutines

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问题 I'm trying to understand how BLAS and LAPACK in Fortran work and so on, so I made a code that generates a matrix and inverts it. Here's the code program test Implicit none external ZGETRF external ZGETRI integer ::M complex*16,allocatable,dimension(:,:)::A complex*16,allocatable,dimension(:)::WORK integer,allocatable,dimension(:)::IPIV integer i,j,info,error Print*, 'Enter size of the matrix' Read*, M Print*, 'Enter file of the matrix' READ(*,*), A OPEN(UNIT=10,FILE = '(/A/)' ,STATUS='OLD'

Installing lapack for numpy

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Running Ubuntu 11.10 + python2.7...built numpy from source and installed it, but when I go to install it, I get ImportError: /usr/lib/liblapack.so.3gf: undefined symbol: ATL_chemv when it tries to import lapack_lite from numpy.linalg. I tried to rebuild lapack from scratch, but it seems to just make /usr/local/lib/libblas.a /usr/local/lib/liblapack.a /usr/local/lib/libtmglib.a and the .so file. Where does the .so.3gf come from, and how do I fix it? I was having the same problem and removing the package libopenblas-base did the trick: sudo apt-get remove libopenblas-base As already explained by

UnsafeMutablePointer<Int8> from String in Swift

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问题 I'm using the dgeev algorithm from the LAPACK implementation in the Accelerate framework to calculate eigenvectors and eigenvalues of a matrix. Sadly the LAPACK functions are not described in the Apple Documentation with a mere link to http://netlib.org/lapack/faq.html included. If you look it up, you will find that the first two arguments in dgeev are characters signifying whether to calculate eigenvectors or not. In Swift, it is asking for UnsafeMutablePointer<Int8> . When I simply use "N"

gfortran LAPACK “undefined reference” error

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问题 I installed LAPACK on Ubuntu by following the instruction, sudo apt-get install liblapack-dev thus I can find /usr/lib/libblas/libblas.a and /usr/lib/lapack/liblapack.a , and then tested it in gfortran with the randomsys1 example, gfortran -llapack -lblas randomsys1.f90 gfortran -llapack -L/usr/lib/lapack -lblas -L/usr/lib/libblas randomsys1.f90 but I received the following errors ( dgesv is a LAPACK routine): /tmp/ccnzuuiY.o: In function `MAIN__': randomsys1.f90:(.text+0xb): undefined

Computing the inverse of a matrix using lapack in C

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问题 I would like to be able to compute the inverse of a general NxN matrix in C/C++ using lapack. My understanding is that the way to do an inversion in lapack is by using the dgetri function, however, I can't figure out what all of its arguments are supposed to be. Here is the code I have: void dgetri_(int* N, double* A, int* lda, int* IPIV, double* WORK, int* lwork, int* INFO); int main(){ double M [9] = { 1,2,3, 4,5,6, 7,8,9 }; return 0; } How would you complete it to obtain the inverse of the

Understanding LAPACK calls in C++ with a simple example

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问题 I am a beginner with LAPACK and C++/Fortran interfacing. I need to solve linear equations and eigenvalues problems using LAPACK/BLAS on Mac OS-X Lion. OS-X Lion provides optimized BLAS and LAPACK libraries (in /usr/lib) and I am linking these libraries instead of downloading them from netlib. My program (reproduced below) is compiling and running fine, but it is giving me wrong answers. I have researched in the web and Stackoverflow and the issue may have to deal with how C++ and Fortran

Best C++ Matrix Library for sparse unitary matrices

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问题 I am looking for a good (in the best case actively maintained) C++ matrix library. Thereby it should be templated, because I want to use a complex of rationals as numerical type. The matrices what I am dealing with are mainly sparse and unitary. Can you please suggest libraries and also give a small explaination why to use them, because I know how to find them, but I cannot really decide what is suitable for me because I am missing the experience with them. EDIT: The main operations I am

How to check BLAS/LAPACK linkage in NumPy and SciPy?

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I am builing my numpy/scipy environment based on blas and lapack more or less based on this walk through. When I am done, how can I check, that my numpy/scipy functions really do use the previously built blas/lapack functionalities? rabra What you are searching for is this: system info I compiled numpy/scipy with atlas and i can check this with: import numpy.distutils.system_info as sysinfo sysinfo.get_info('atlas') Check the documentation for more commands. The method numpy.__config__.show() outputs information about linkage gathered at build time. My output looks like this. I think it means

Installing lapack for numpy

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问题 Running Ubuntu 11.10 + python2.7...built numpy from source and installed it, but when I go to install it, I get ImportError: /usr/lib/liblapack.so.3gf: undefined symbol: ATL_chemv when it tries to import lapack_lite from numpy.linalg. I tried to rebuild lapack from scratch, but it seems to just make /usr/local/lib/libblas.a /usr/local/lib/liblapack.a /usr/local/lib/libtmglib.a and the .so file. Where does the .so.3gf come from, and how do I fix it? 回答1: I was having the same problem and