Variational Iterative Methods for Nonsymmetric Systems of Linear Equations
Stanley C. Eisenstat, Howard C. Elman, Martin H. Schultz · SIAM Journal on Numerical Analysis · 1983
We consider a class of iterative algorithms for solving systems of linear equations where the coefficient matrix is nonsymmetric with positive-definite symmetric part. The algorithms are modelled after the conjugate gradient method, and are well suited for large sparse systems. They do not make use of any associated symmetric problems. Convergence results and error bounds are presented.