umfpack

Error when compile umfpack after the update of Mac

由 安稳与你 提交于 2021-01-29 09:49:55
问题 I was able to use umfpack, but I just found that I cannot use it as before. I guess the reason is my recent update of Mac. I already installed SuiteSparse VERSION 4.5.4. I use the Fortran interface, umfpack.f90, from http://geo.mff.cuni.cz/~lh/Fortran/UMFPACK/. And use gfortran umfpack.f90 umfpack_simple_3subr.f90 -L/usr/local/lib -lumfpack to compile. But I got the following errors: Undefined symbols for architecture x86_64: "__gfortran_os_error_at", referenced from: ___mumfpack_MOD_umfpack

C++ Memory Efficient Solution for Ax=b Linear Algebra System

由 吃可爱长大的小学妹 提交于 2019-12-18 10:17:26
问题 I am using Numeric Library Bindings for Boost UBlas to solve a simple linear system. The following works fine, except it is limited to handling matrices A(m x m) for relatively small 'm'. In practice I have a much larger matrix with dimension m= 10^6 (up to 10^7). Is there existing C++ approach for solving Ax=b that uses memory efficiently. #include<boost/numeric/ublas/matrix.hpp> #include<boost/numeric/ublas/io.hpp> #include<boost/numeric/bindings/traits/ublas_matrix.hpp> #include<boost

Scipy sparse invert or spsolve lead to UMFPACK_ERROR_OUT_OF_MEMORY

由 若如初见. 提交于 2019-12-05 16:18:36
问题 I am trying to invert a large (150000,150000) sparse matrix as follows: import scipy as sp import scipy.sparse.linalg as splu #Bs is a large sparse matrix with shape=(150000,150000) #calculating the sparse inverse iBs=splu.inv(Bs) leads to the following error message: Traceback (most recent call last): iBs=splu.inv(Bs) File "/usr/lib/python2.7/dist-packages/scipy/sparse/linalg/dsolve/linsolve.py", line 134, in spsolve autoTranspose=True) File "/usr/lib/python2.7/dist-packages/scipy/sparse

C++ Memory Efficient Solution for Ax=b Linear Algebra System

由 陌路散爱 提交于 2019-11-29 20:31:29
I am using Numeric Library Bindings for Boost UBlas to solve a simple linear system. The following works fine, except it is limited to handling matrices A(m x m) for relatively small 'm'. In practice I have a much larger matrix with dimension m= 10^6 (up to 10^7). Is there existing C++ approach for solving Ax=b that uses memory efficiently. #include<boost/numeric/ublas/matrix.hpp> #include<boost/numeric/ublas/io.hpp> #include<boost/numeric/bindings/traits/ublas_matrix.hpp> #include<boost/numeric/bindings/lapack/gesv.hpp> #include <boost/numeric/bindings/traits/ublas_vector2.hpp> // compileable

UMFPACK and BOOST's uBLAS Sparse Matrix

由 ￡可爱￡侵袭症＋ 提交于 2019-11-29 15:25:37
问题 I am using Boost's uBLAS in a numerical code and have a 'heavy' solver in place: http://www.crystalclearsoftware.com/cgi-bin/boost_wiki/wiki.pl?LU_Matrix_Inversion The code works excellently, however, it is painfully slow. After some research, I found UMFPACK, which is a sparse matrix solver (among other things). My code generates large sparse matrices which I need to invert very frequently (more correctly solve, the value of the inverse matrix is irrelevant), so UMFPACk and BOOST's Sparse

Best C++ Matrix Library for sparse unitary matrices

由 隐身守侯 提交于 2019-11-27 20:52:04
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 dealing with are matrix multiplication , scalar multiplication with a vector and kronecker product . The

Best C++ Matrix Library for sparse unitary matrices

由 ◇◆丶佛笑我妖孽 提交于 2019-11-26 20:28:50
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
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