Implementation of a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems: Solve Ax = b or minimize || Ax- b ||2 or minimize || Ax- b ||2+ d2 ||x||2. The matrix A may be square or rectangular (over-determined or under-determined), and may have any rank. It is represented by a routine for computing Av and A u for given vectors v and u.

lsqr.doc
lsqr.f
LSQR.LIS.txt
lsqrblas.f
lsqrchk.f
lsqrtest.f
lsqr_f77.README.txt

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