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| Title: | Stable Numerical Algorithms for Equilibrium Systems |
| Authors: | Vavasis, Stephen A. |
| Keywords: | computer science technical report |
| Issue Date: | Apr-1992 |
| Publisher: | Cornell University |
| Citation: | http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR92-1280 |
| Abstract: | An equilibrium system (also known as a KKT system, a saddlepoint system or a sparse tableau) is a square linear system with a certain structure. G. Strang has observed that equilibrium systems arise in optimization, finite elements, structural analysis and electrical networks. Recently, G. W. Stewart established a norm bound for a type of equilibrium system in the case that the "stiffness" portion of the system is very ill-conditioned. In this paper, we investigate the algorithmic implications of Stewart's result. We show that all standard textbook algorithms for equilibrium systems are unstable. Then we show that a certain hybrid method has the right stability property. |
| URI: | http://hdl.handle.net/1813/7120 |
| Appears in Collections: | Computer Science Technical Reports
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