Orthomin(k) Method for Linear Least Squares Problem

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概要

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• A class of iterative algorithms for solving large-scale linear least squares problems is proposed. The algorithms are based on the conjugate residual direction, and are well suited to linear least squares problems where the coefficient matrix is large and sparse. The linear convergence and the error bounds of the process are proved, and the convergence condition is analyzed.

• 一般社団法人情報処理学会の論文
• 1991-07-31

著者

• Liang Zhang

  Inst. Of Computational Fluid Dynamics

• Oyanagi Yoshio

  Department Of Information Science University Of Tokyo

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