You need to factor the matrix (by calling dgetrf) before you can solve the system using dgetrs. Alternatively, you can use the dgesv routine, which does both steps for you. By the way, you don’t need to declare the interfaces yourself, they are in the Accelerate headers: // LAPACK test code #include <iostream> #include <vector> … Read more
Here is the working code for computing the inverse of a matrix using lapack in C/C++: #include <cstdio> extern “C” { // LU decomoposition of a general matrix void dgetrf_(int* M, int *N, double* A, int* lda, int* IPIV, int* INFO); // generate inverse of a matrix given its LU decomposition void dgetri_(int* N, double* … Read more
That’s bug no 961964 of MATLAB known since R2012b (8.0). MATLAB dynamically loads some libs with static TLS (thread local storage, e.g. see gcc compiler flag -ftls-model). Loading too many such libs => no space left. Until now mathwork’s only workaround is to load the important(!) libs first by using them early (they suggest to … Read more
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 others, several packages provide incompatible versions of liblapack.so.3gf.
Year 2021: this works with miniconda on Windows 10 conda create -n openblas python=3.8 conda activate openblas conda install conda-forge::blas=*=openblas conda install -c conda-forge numpy Tested also with matplotlib-base.
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() lapack_opt_info: extra_link_args = [‘-Wl,-framework’, ‘-Wl,Accelerate’] extra_compile_args = [‘-msse3’] define_macros = [(‘NO_ATLAS_INFO’, 3)] blas_opt_info: extra_link_args = [‘-Wl,-framework’, … Read more