文件名称:SYMMLQ
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采用CG法求解稀疏对称非奇异矩阵得到的线性系统Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations:
Solve Ax = b or (A- sI)x = b.
The matrix A- sI must be symmetric and nonsingular, but it may be definite or indefinite. The scalar s is a shifting parameter-- it may be any number. The method is based on Lanczos tridiagonalization. You may provide a preconditioner, but it must be positive definite.
Solve Ax = b or (A- sI)x = b.
The matrix A- sI must be symmetric and nonsingular, but it may be definite or indefinite. The scalar s is a shifting parameter-- it may be any number. The method is based on Lanczos tridiagonalization. You may provide a preconditioner, but it must be positive definite.
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下载文件列表
symmlq.f
symmlqblas.f
symmlqtest.f
symmlq_f77.README.txt
symmlqblas.f
symmlqtest.f
symmlq_f77.README.txt