📝 Abstract

We consider the conjugate gradient like methods for solving block symmetric indefinite linear systems. \nSpecial emphasis is put on the use of inverse reduced preconditioners that can reduce the amount of work \nrequired by the preconditioning step. Numerical experiments performed on a variety of test problems from \nthe Netlib LP collection and the practical structural analysis examples indicate computational promise.

🏷️ Keywords

Constrained optimizationSaddle point systemPreconditioned conjugate gradient
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Citation

Ho-Jong Jang. (2022). Preconditioning Saddle Point Systems arising in Constrained Optimization Problems. Cithara Journal, 62(6). ISSN: 0009-7527