test_lls, a C code which implements linear least squares (LLS) test problems which seek a vector x which minimizes the error in the rectangular linear system A*x=b.
Some linear least squares problems include constraints on the data, such as requiring that every entry of X be positive. This library only contains unconstrained problems. For such problems, the task is typically to find a vector X which minimizes the Euclidean norm of the residual r=Ax-b, or, in cases where multiple minimizers exist, to find the minimizer of minimal Euclidean norm.
TEST_LLS requires access to a compiled copy of the R8LIB library.
The computer code and data files described and made available on this web page are distributed under the MIT license
test_lls is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and a Python version.
LLSQ, a C code which solves the simple linear least squares problem of finding the formula of a straight line y=a*x+b which minimizes the root-mean-square error to a set of N data points.
QR_SOLVE, a C code which computes the least squares solution of a linear system A*x=b.
R8LIB, a C code which contains many utility routines using double precision real (R8) arithmetic.