Stable Numerical Algorithms for Equilibrium Systems
An equilibrium system (also known as a Karush-Kuhn-Tucker (KKT) system, a saddlepoint system, or a sparse tableau) is a square linear system with a certain structure. Strang [SIAM Rev., 30 (1988), pp. 283-297] has observed that equilibrium systems arise in optimization, finite elements, structural a...
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Veröffentlicht in: | SIAM journal on matrix analysis and applications 1994-10, Vol.15 (4), p.1108-1131 |
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Sprache: | eng |
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Zusammenfassung: | An equilibrium system (also known as a Karush-Kuhn-Tucker (KKT) system, a saddlepoint system, or a sparse tableau) is a square linear system with a certain structure. Strang [SIAM Rev., 30 (1988), pp. 283-297] has observed that equilibrium systems arise in optimization, finite elements, structural analysis, and electrical networks. Recently, Stewart [Linear Algebra Appl., 112 (1989), pp. 189-193] established a norm bound for a type of equilibrium system in the case when the "stiffness" portion of the system is very ill-conditioned. This paper investigates the algorithmic implications of Stewart's result. It is shown that several algorithms for equilibrium systems appearing in applications textbooks are unstable. A certain hybrid method is then proposed, and it is proved that the new method has the right stability property. |
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ISSN: | 0895-4798 1095-7162 |
DOI: | 10.1137/S0895479892230948 |