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https://github.com/Foadsf/Cmathtuts

trying to collect all useful tutorials for famous C math and linear algebra libraries such as CBLAS, CLAPACK, GSL...
https://github.com/Foadsf/Cmathtuts

algebra blas c cblas clapack fortran lapack lapacke mathematics

Last synced: about 2 months ago
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trying to collect all useful tutorials for famous C math and linear algebra libraries such as CBLAS, CLAPACK, GSL...

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Please check [the dev branch](https://github.com/Foadsf/Cmathtuts/tree/dev) which is slightly less messy.



# A collection of math tutorials in C

While ago, when I started doing some linear algebra in C, it came to me as a surprise to see there are so few tutorials for BLAS, LAPACK and other fundamental APIs. Despite the fact that they are somehow the building blocks of many other libraries. For that reason I started collecting all the examples I could find all over the net for BLAS, LAPACK, CLAPACK, LAPACKE, ATLAS, OpenBLAS ... in this Github repo. Well, I should warn you that as a mechanical engineer I have little experience in managing such a repo and it might firstly seems as a complete mess to you guys. However if you manage to get over the mess you will find all kind of examples and instructions which might be help. I have tried the most and the ones does not compile I have mentioned. I have modified many of them to be compilable with GNU compilers (gcc, g++ and gfortran). I have made make files which you can read to learn how you can call individual fortran routines in a C or C++ program. I have also put some installations instructions for mac and linux (sorry windows guys!). I want to make sure if you are a C developer you can use any of these libraries without any problems regardless of your platform or hardware



issues:



1. not able to compile ATLAS on mac OS X. a bug report was made on sourceforce: https://sourceforge.net/p/math-atlas/bugs/261/

2. for some of the BLAS and CBLAS examples the -lgfortran is requred to compile. I don't know why! (on mac OS X you need to install gfortran and then look for libgfortran.dylib and link against it while compiling)



to do:



1. make compiling/installation for all libraries for different platforms

2. check the Makefile s on other platforms(tested only on mac OS X)



sources to be studied:



1. http://physics.oregonstate.edu/~landaur/nacphy/lapack/cprogp.html

2. https://people.sc.fsu.edu/~jburkardt/c_src/clapack/clapack.html

3. http://stackoverflow.com/questions/22085277/how-to-call-clapack-from-c

4. ftp://ftp.icm.edu.pl/packages/netlib/lapack/lapacke.txt

5. https://pleiades.ucsc.edu/hyades/LAPACK

6. http://www.ccp4.ac.uk/dist/checkout/lapack-3.5.0/lapacke/example/example_DGELS_colmajor.c

7. http://www.linuxquestions.org/linux/answers/programming/installation_and_use_common_scientific_libraries_unix_part_2_lapack_and_its_wrappers_lapacke_and_atlas

8. http://theoryno3.blogspot.nl/2010/12/compiling-lapack-as-shared-library-in.html

9. http://www.dreamincode.net/forums/topic/287490-anyone-familiar-with-lapack-and-blas/

10. https://software.intel.com/sites/products/documentation/doclib/mkl_sa/11/mkl_lapack_examples/index.htm#zgesv.htm

11. https://pleiades.ucsc.edu/hyades/BLAS

12. https://software.intel.com/en-us/node/522288

13. http://stackoverflow.com/questions/17858104/what-is-the-relation-between-blas-lapack-and-atlas/17858345#17858345

14. http://stackoverflow.com/questions/1303182/how-does-blas-get-such-extreme-performance/11421344#11421344

15. http://stackoverflow.com/questions/1380371/what-are-the-most-widely-used-c-vector-matrix-math-linear-algebra-libraries-a/1452950#1452950

16. http://stackoverflow.com/questions/8206563/purpose-of-lda-argument-in-blas-dgemm/8209290#8209290

17. http://stackoverflow.com/questions/966249/scientific-math-with-functional-languages/966324#966324

18. http://stackoverflow.com/questions/24071622/replicating-blas-matrix-multiplication-performance-can-i-match-it

19. Cephes --> http://www.netlib.org/cephes/

20. CRlibm --> http://lipforge.ens-lyon.fr/www/crlibm/index.html