lapack

问题 I'm attempting to recode an old C++ program in Fortran to make use of LAPACK (I'm aware that C++ does have LAPACK++, but I'm having a lot of trouble installing it, so I gave up). I originally didn't have any problems with compilation, but that was when I had all variables declared as REAL . When I started coding the section of the program that required LAPACK, I found that all parameters passed to DSYEV need to be DOUBLE PRECISION . So I tried to change everything to double precision

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 months ago . I'm developing a program that needs to do heavy linear algebra calculations. Now I'm using LAPACK/BLAS routines, but I need to exploit my machine (24 core Xeon X5690). I've found projects like pblas and scalapack , but they all seem to focus on distributed computing and on using MPI. I have no cluster available

问题 I am trying to factorize a matrix with the QR factorization in C++, using Lapack's functions in order to solve a system of linear equations (Ax=b) As far as I understood, dgeqrf computes the QR factorization and overwrites the input matrix. The output clearly contains values for L (upper triangular), but how do I obtain Q? I tried dormqr , which is said to calculate Q from dgeqrf 's output, but the result is the same matrix as in the previous call. Here's my complete code: boost::numeric:

问题 I'm attempting to do a release of some software and am currently working through a script for the build process. I'm stuck on something I never thought I would be, statically linking LAPACK on x86_64 linux. During configuration AC_SEARCH_LIB([main],[lapack]) works, but compilation of the lapack units do not work, for example undefiend reference to 'dsyev_' --no lapack/blas routine goes unnoticed. I've confirmed I have the libraries installed and even compiled them myself with the appropriate

问题 I want to learn how to call the built-in LAPACK/BLAS routines in MATLAB. I have experience in MATLAB and mex files but I've actually no idea how to call LAPACK or BLAS libraries. I've found the gateway routines in file exchange that simplifies the calls since I don't have to write a mex file for any function such as this one. I need any toy example to learn the basic messaging between MATLAB and these built-in libraries. Any toy example such as matrix multiplication or LU decomposition is

问题 Since a couple of days, I constantly receive the same error while using MATLAB which happens at some point with dlopen . I am pretty new to MATLAB, and that is why I don't know what to do. Google doesn't seem to be helping me either. When I try to make an eigenvector, I get this: Error using eig LAPACK loading error: dlopen: cannot load any more object with static TLS I also get this while making a multiplication: Error using * BLAS loading error: dlopen: cannot load any more object with

问题 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? 回答1: The method numpy.show_config() (or numpy.__config__.show() ) outputs information about linkage gathered at build time. My output looks like this. I think it means I am using the BLAS/LAPACK that ships with Mac OS. >>> import numpy as np >>> np.show_config()

问题 I'm trying to compile someone else's code and there isn't a simple header file. I need to link the default lapack and blas libraries on osx, and after some searching I figured they're in the Accelerate framework, and in my make.inc I used something like LAPACK_LIBS = -framework Accelerate Now I read in the man page that I should include #include <Accelerate/Accelerate.h> Is there a way I can do it in make.inc? Sorry if this is dumb I'm not really a programmer and I've tried my best to search.

问题 Background I am trying to find the eigenvalues of a complex matrix by using zgeev routine in LAPACK library. As far as I understand, LAPACK is written for FORTRAN and hence to use it with a C (or C++) program one has to make several modifications such as transforming the matrix and appending an underscore in the routine-name (REFERENCE:http://www.physics.orst.edu/~rubin/nacphy/lapack/codes/eigen-c.html) Problem To link LAPACK library to a C++ program (http://www.physics.orst.edu/~rubin/nacphy

问题 I am trying to use LAPACK's dgels_ in C to solve a linear least squares problem. I have to read the matrix A (assumed to have full rank and m>=n) and a vector b from 2 text files. I can easily compile my code, but when i try to run it I get a "segmentation fault 11", but I can't really see why. It is my first time using LAPACK so I don't know if maybe I am using the dgels_ function wrong?? The way I get it the solution x will be overwritten in the vector b? : lssolve.c: #include <stdlib.h>