lapack

问题 Is there ready routine in lapack to perform orthonormalization, for example Gram-Schmidt or some variation of QR method? if not, what is the advised approach to perform orthonormalization using lapack? 回答1: Yes, there is! Look at: sgeqrf (single precision real) dgeqrf (double precision real) cgeqrf (single precision complex) zgeqrf (double precision complex) In general, for LAPACK documentation, consult netlib. 回答2: Here direct links to the documentation: SGEQRF DGEQRF CGEQRF ZGEQRF 来源： https

问题 i am trying to write code to calculate eign vector and eign values for a symmetric matrix. I understand how to calculate evalues using pen & paper but i am slightly confused with the api!. I am a beginner so i may be wrong in interpreting the api parameters. int main() { char jobz='V',uplo='U'; int lda=3,n=3,info=8,lwork=9; // lapack_int lda=3,n=3,info=8; int i; double w[3],work[3]; double a[9] = { 3,2,4, 2,0,2, 4,2,3 }; info=LAPACKE_dsyev(LAPACK_ROW_MAJOR,jobz,uplo, n ,a, lda , w); //dsyev_(

问题 I am creating an R package 'lapacker' to provide the C interface for internal LAPACK library provided and used by R (with double precision and double complex only) using the R API header file "R_ext/Lapack.h". The source code: https://github.com/ypan1988/lapacker/ And the project structure: /lapacker /inst /include /lapacke.h /someother header files /R /zzz.R /src /lapacke_dgetrf.c /lapacke_dgetrf_work.c /loads of other utility functions provided by LAPACKE /rcpp_hello.cpp DESCRIPTION

问题 I'm building numpy from source on CentOS 6.5 with no root access (python -V=2.7.6). I have the latest numpy source from git. I cannot for the life of me get numpy to acknowledge atlas libs. I have: ls -1 /usr/lib64/atlas libatlas.so.3 libatlas.so.3.0 libcblas.so.3 libcblas.so.3.0 libclapack.so.3 libclapack.so.3.0 libf77blas.so.3 libf77blas.so.3.0 liblapack.so.3 liblapack.so.3.0 libptcblas.so.3 libptcblas.so.3.0 libptf77blas.so.3 libptf77blas.so.3.0 I don't know anything about how these libs

问题 I am trying to use lapack functions from C. Here is some test code, copied from this question #include <stdlib.h> #include <stdio.h> #include <time.h> #include "clapack.h" #include "cblas.h" void invertMatrix(float *a, unsigned int height){ int info, ipiv[height]; info = clapack_sgetrf(CblasColMajor, height, height, a, height, ipiv); info = clapack_sgetri(CblasColMajor, height, a, height, ipiv); } void displayMatrix(float *a, unsigned int height, unsigned int width) { int i, j; for(i = 0; i <

问题 I am working on Windows 10 64-bit using MSYS2 with the 64-bit toolchain. In the MSYS2 terminal I found and installed the following packages after searching for them with pacman -Ss , mingw64/mingw-w64-x86_64-openblas 0.2.20-2 mingw64/mingw-w64-x86_64-lapack 3.6.1-1 mingw64/mingw-w64-x86_64-arpack 3.5.0-1 I took an example fortran source file from the Intel MKL library examples; I copied the dgelsx.f file to a folder in my msys home directory. I compile (in the mingw64 terminal) with gfortran

问题 I'm trying to link Ipopt with Intel MKL (instructions). Intel's Link Advisor suggests: Link line: -Wl,--start-group ${MKLROOT}/lib/intel64/libmkl_intel_ilp64.a ${MKLROOT}/lib/intel64/libmkl_core.a ${MKLROOT}/lib/intel64/libmkl_intel_thread.a -Wl,--end-group -lpthread -lm -ldl Compiler options: -DMKL_ILP64 -qopenmp -I${MKLROOT}/include I try to configure Ipopt with: ../configure CXX=icpc CC=icc F77=ifort --with-blas=" -Wl,--start-group ${MKLROOT}/lib/intel64/libmkl_intel_ilp64.a ${MKLROOT}/lib

问题 I have a matrix at each point on a 3d grid. I need to calculated the eigen values and eigen vectors at each point and the sort them in ascending order of eigen value. I wrote the following test case below using python, I am able to sort the eigen value but the associated eigen vector is of larger dimension. import numpy as np from numpy import linalg as LA n = 2 a = np.zeros((3,3,n,n,n)) a[:,:,0,0,0] = [[5,0,0],[0,1,0],[0,0,3]] a[:,:,1,1,1] = [[2,0,0],[0,3,0],[0,0,1]] eigvals,eigvecs = LA.eig

问题 I am having trouble writing a MEX file in MATLAB that can perform a simple linear operation such as taking the inverse of a matrix. I have successfully managed to take the inverse of a matrix using Visual Studio 2010 and have successfully created a MEX file hence the only thing I am having trouble is getting these two concepts together. I have tried to compile a MEX example code that I got from the MathWorks site but with no luck. Here is what I have tried, Saved the file (renamed it) I got

问题 I'm trying to compile the examples found here: http://www.netlib.org/lapack/lapacke.html#_examples Specifically, I'm trying to get the "Calling CGEQRF and the CBLAS" example to work. The code is like so: #include <stdio.h> #include <stdlib.h> #include <lapacke.h> #include <cblas.h> int main (int argc, const char * argv[]) { lapack_complex_float *a,*tau,*r,one,zero; lapack_int info,m,n,lda; int i,j; float err=0.0; m = 10; n = 5; lda = m; one = lapack_make_complex_float(1.0,0.0); zero= lapack