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A parallel dual-type method for solving CWLS problem
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DOI：10.1016/S0378-7796(03)00082-8.png)
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Abstract
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In this paper, we propose a method to solve the distributed constrained state-estimation problem and discuss the associated implementation. This method includes a successive quadratic programming process and a parallel dual-type method possessing decomposition effects. With the decomposition, our method achieves a dramatic speed-up ratio compared with the commercial IMSL subroutines in solving CWLS problems. (C) 2003 Elsevier Science B.V. All rights reserved.
Keywords:
state estimation
distributed computation
quadratic programming process
nonlinear programming
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