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Description: 采用CG法求解稀疏不对称的Ax=b-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.
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Size: 45056 |
Author: LSQR |
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