Using external libraries with MATLAB, MEX files

Recommendations

Info

More Data Types • Sparse Matrices – Have a different storage convention than full matrices – pr and pi are still arrays of double-precision numbers, but there are three additional parameters, nzmax, ir, and jc: • integer nzmax contains the length of ir, pr, and pi – the maximum possible number of nonzero elements in the sparse matrix • ir points to an integer array of length nzmax containing the row indices of the corresponding elements in pr and pi • jc points to an integer array of length N+1 that contains column index information • for j, in the range 0 j N-1, jc[j] is the index in ir and pr (and pi) of the first nonzero entry in the j th column and jc[j+1] - 1 index of the last nonzero entry; jc[N]=nnz • if nnz
Using Data Types • The six fundamental data types in MATLAB are double, char, sparse, uint8, cell, and struct • You can write MEX-files, MAT-file applications, and engine applications in C that accept any data type supported by MATLAB • In Fortran, only the creation of double-precision n-by-m arrays and strings are supported – Try: cd([matlabroot '/extern/examples/mex']); x = 2; explore(x); explore([1 2 3 4 5]) explore 1 2 3 4 5 explore({1 2 3 4 5}) explore(int8([1 2 3 4 5])) explore {1 2 3 4 5} explore(sparse(eye(5))) explore(struct('name', 'Joe Jones', 'ext', 7332)) explore(1, 2, 3, 4, 5)
Page 1 and 2: Using external libraries with MATLA
Page 3 and 4: MEX-files • are subroutines produ
Page 5 and 6: MATLAB Data • MATLAB works with o
Page 10 and 11: Building MEX-Files • MATLAB conta
Page 12 and 13: Testing Your Configuration • By d
Page 14 and 15: The Components of a C MEX-File The
Page 16 and 17: (continued) /* Check for proper num
Page 18 and 19: • You can also - link multiple fi
Page 20 and 21: Using LAPACK and BLAS Functions •
Page 22 and 23: Building the C MEX-File w. BLAS/LAP

Using external libraries with MATLAB, MEX files

Create successful ePaper yourself

Delete template?

Save as template?