Numerical solution of saddle point problems

Michele Benzi(Emory University), Gene H. Golub(Stanford University), Jörg Liesen(Technische Universität Berlin)
Acta Numerica
April 19, 2005
Cited by 2,292

Abstract

Large linear systems of saddle point type arise in a wide variety of applications throughout computational science and engineering. Due to their indefiniteness and often poor spectral properties, such linear systems represent a significant challenge for solver developers. In recent years there has been a surge of interest in saddle point problems, and numerous solution techniques have been proposed for this type of system. The aim of this paper is to present and discuss a large selection of solution methods for linear systems in saddle point form, with an emphasis on iterative methods for large and sparse problems.


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