asa007, a FORTRAN77 code which computes the inverse of a symmetric positive definite matrix, by Michael Healy.
ASA007 is Applied Statistics Algorithm 7.
The algorithm implemented here uses a compressed storage for both the matrix A and the factor U. This saves some storage, but can make computations a little awkward.
The computer code and data files described and made available on this web page are distributed under the MIT license
asa007 is available in a C version and a C++ version and a Fortran90 version and a MATLAB version and an Octave version and a Python version.
asa006, a FORTRAN77 library which computes the Cholesky factorization of a symmetric positive definite matrix. A version of this routine is used by ASA007.
ASA047, a FORTRAN77 library which implements the Nelder-Mead minimization algorithm, and uses a version of ASA007 for the computation.
LAPACK_EXAMPLES, a FORTRAN77 program which demonstrates the use of the LAPACK linear algebra library.
LINPACK, a FORTRAN77 library which includes routines to compute the inverse of symmetric positive matrix.
Michael Healy
You can go up one level to the FORTRAN77 source codes.