Matlab R2012b Torrent
Oludare Padilla
I am working with a Matlab code and needs to handle large sparse systems. I have to take perform Mathematical operations like 'inverse', eigen value computation etc on these sparse systems. While using the inbuilt Matlab functions like 'inv()' and 'eig()', I ended up in getting memory issues and the program takes so much time to finish the analysis. This forces me to consider incorporating Intel MKL library functions to my code. I couldn't find a proper help to do so. I have seen certain procedures described for Matlab R2010a version -us/articles/using-intel-mkl-with-matlab
While taking the eigen values , I have two matrices.. the first one is a full matrix and the second one is a sparse singular matrix.... both have a size more than 5000 x 5000 ... If I use the 'sparse' function in matlab, I have to use 'eigs' to compute the eigen vectors and mode shapes.... but 'eigs' function can't compute the eigen vectors when matrix is singular ..... and my second matrix may or may not be singular ....
My main question here is how to use Intel MKL with Matlab ( as I may have even higher matrices and using 'eig()' within Matlab takes so much time for computation ) I have seen a procedure to link MKL with Matlab version R2010a... -us/articles/using-intel-mkl-with-matlab .... I wasn't sure if its the same procedure for linking MKL with Matlab R2012b , as I was getting some errors ...
At some stage or other I need to use MKL library functions with Matlab and thus I was trying to call MKL library functions through my Matlab program ... -us/articles/using-intel-mkl-with-matlab .... This describes about making MKL use with Matlab start up...I was trying to follow the instructions described in this page... When I was trying to build the custom dll using 'nmake ia32' it started showing some syntax errors .... Not sure if I set wrong environment variables or something...I have typed the following in Intel MKL command prompt ...
All the examples and results are produced by the scripts found in this software release under applications/Acquisition/2DTimeJitteredOBS/examples/. Start matlab from applications/Acquisition/2DTimeJitteredOBS to add the appropriate paths.
582128177f