Description: 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.
- [shexianzhuizong] - This is under FORTAN into aspects of the
- [SVD_LSQR] - Using SVD, LSQR for solving matrix or so
- [juzhenjs] - Various types of matrix numerical calcul
- [LSQR] - the programe of LSQR and SIRT
- [lsqr] - lsqr.m QRLS............................
File list (Check if you may need any files):
lsqr.doc
lsqr.f
LSQR.LIS.txt
lsqrblas.f
lsqrchk.f
lsqrtest.f
lsqr_f77.README.txt
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