lapack

R lapack routines cannot be loaded

由 流过昼夜 提交于 2019-12-10 16:49:13
问题 I usually ran different statistical analysis in R with routines that use lapack like gam() lm(), etc but after several updates of libraries the following error appears: library(mgcv) This is mgcv 1.7-22. For overview type 'help("mgcv-package")'. model <- with(chlaR,gam(ClorMAX ~ s(DegDay_NM))) Error en eigen(St, symmetric = TRUE) : lapack routines cannot be loaded Además: Mensajes de aviso perdidos In eigen(St, symmetric = TRUE) : unable to load shared object '/usr/lib/R/modules//lapack.so':

Tutorial for installing numpy with OpenBLAS on Windows

由 断了今生、忘了曾经 提交于 2019-12-10 15:56:35
问题 Please, I do need a light here. I want to install numpy using a good BLAS/LAPACK lib on Windows , but absolutely no page explains the process well enough. It seems OpenBLAS is a good and fast option. The goal is to use "theano" with "keras", and "theano" requires that the libraries be "dynamic", not static. (Not sure I understand what that means, but it causes slowness and memory issues) Please treat me as a complete newbie. Give me a step by step tutorial on how to do it! Don't forget to

Improving Cython Lapack performance with internal array definitions?

由 帅比萌擦擦* 提交于 2019-12-10 12:18:03
问题 I'm trying to speed up some matrix inversion in a model I'm building, specifically by implementing some linear algebra routines in Cython. I have the code working, but am trying to optimize. Currently my Cython looks like this: import cython import numpy as np cimport numpy as cnp cimport scipy.linalg.cython_lapack as cython_lapack cdef int ZERO = 0 ctypedef cnp.float64_t REAL_t def inverse(mat,identity,pivots,k): cdef int K = k cdef REAL_t* mat_pointer = <REAL_t *>cnp.PyArray_DATA(mat) cdef

Problems with porting a fortran program from ubuntu to windows

由 人走茶凉 提交于 2019-12-10 12:11:16
问题 I previously had some troubles updating old code that still needed a not supported compiler and expensive libraries to a version with gfortran in Eclipse on Windows. I let it rest for a while and recently I took a whole other approach, rebuilding the program from scratch, developping on a ubuntu machine, but now I want to bring it back to a windows machine so that my co-workers can contribute on it. The status: Program compiles, runs and gives good results on an ubuntu machine with the GCC

How to install LAPACK for MSVS 2010 on windows?

由 我们两清 提交于 2019-12-10 12:01:54
问题 I am using the ITPP library (IT++ library) for one of my projects. For using the eigen_sym() function of this library, it asks for installing the LAPACK. I tried the direct prebuilt libraries for Windows but still get the error. Finally on the following site: http://icl.cs.utk.edu/lapack-for-windows/lapack/#libraries I found a solution under "Build Instructions to create LAPACK and LAPACKE 3.5.0 dlls for Windows with MinGW" that might work. I did steps 1 to 5 but got stuck 6 onwards. My

How do I install C packages on windows

由 ℡╲_俬逩灬. 提交于 2019-12-10 11:42:38
问题 I have to use LU decompostion to fit a simple model to some data (simulated) in C. An example of what I need to do is here: However, I'm stuck with a more basic problem: how do I install packages in C and call them in my code? I'm new in C and I'm used to R. But I have this assingment to do some tests about Matrix inversion, LU decomposision and the professor suggested using Lapack to easy things (thus, I don't need to code myself the LU decomposition etc.). But I don't know how to install

C++/LapackE code compiling fine on Windows, but the identical code fails compilation on Linux

由 戏子无情 提交于 2019-12-08 14:02:48
问题 The code written in C++ with LapackE and MPI libraries compiles and runs great on Windows where I use GNU C++ 4.9.2. Migrating that code to Linux (CentOS) server fails to compile ! The GNU C++ on Linux machine is 4.4.7. I used identical LapackE header files in both cases. MPI works well on the Linux machine. Upon inspection of preprocessor output files on both machines, I can relate the error messages to following situations where complex declarations in the original code were replaced by

Code::Blocks and Lapack

由 若如初见. 提交于 2019-12-08 12:41:31
问题 How do you add Lapack libraries to Code::Blocks IDE on Windows ?. The files I have are these: ( Victor's Compiled binary libraries for Window s on this page: http://www.stanford.edu/~vkl/code/libs.html ) lapack_win32.a lapack_win32.def lapack_win32.dll lapack_win32.exp lapack_win32.lib How would look like a simple example in C/C++ using the dynamic library? Do I use #include <lapack> ? or how? 回答1: First assuming you have installed these libraries in C:\LapackLib. Click on the Settings Menu

How do I install C packages on windows

由 三世轮回 提交于 2019-12-08 02:43:27
I have to use LU decompostion to fit a simple model to some data (simulated) in C. An example of what I need to do is here : However, I'm stuck with a more basic problem: how do I install packages in C and call them in my code? I'm new in C and I'm used to R. But I have this assingment to do some tests about Matrix inversion, LU decomposision and the professor suggested using Lapack to easy things (thus, I don't need to code myself the LU decomposition etc.). But I don't know how to install the package and call it in my code, in order to use the functions of LAPACK. I have a windows 7 64 bits

Armadillo + Matlab Mex segfault

由 北城以北 提交于 2019-12-07 23:25:32
问题 I fiddled with this the whole day, so I thought I might make everyone benefit from my experience, please see my answer below. I first had a problem with running a compiled Mex file within Matlab, because Matlab complained that it couldn't open the shared library libarmadillo . I solved this using the environment variables LD_LIBRARY_PATH and LD_RUN_PATH ( DYLD_LIBRARY_PATH and LYLD_RUN_PATH in osx). The problem remained however, that a simple test file would segfault at runtime even though
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