BIB-VERSION:: CS-TR-v2.0
          ID:: STAN//CS-TR-76-535
       ENTRY:: July 04, 1995
ORGANIZATION:: Stanford University, Department of Computer Science
       TITLE:: A generalized conjugate gradient method for nonsymmetric
               systems of linear equations
        TYPE:: Technical Report
      AUTHOR:: Concus, Paul
      AUTHOR:: Golub, Gene H.
        DATE:: January 1976
       PAGES:: 16
    ABSTRACT:: We consider a generalized conjugate gradient method for
               solving systems of linear equations having nonsymmetric
               coefficient matrices with positive-definite symmetric part.
               The method is based on splitting the matrix into its
               symmetric and skew-symmetric parts, and then accelerating the
               associated iteration using conjugate gradients, which
               simplifies in this case, as only one of the two usual
               parameters is required. The method is most effective for
               cases in which the symmetric part of the matrix corresponds
               to an easily solvable system of equations. Convergence
               properties are discussed, as well as an application to the
               numerical solution of elliptic partial differential
               equations.
       NOTES:: [Adminitrivia V1/Prg/19950704]
         END:: STAN//CS-TR-76-535