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On the Least Squares Solutions of a System of Bilinear Equations
Conference proceeding

On the Least Squares Solutions of a System of Bilinear Equations

Er-Wei Bai and Yun Liu
Proceedings of the 44th IEEE Conference on Decision and Control, Vol.2005, pp.1197-1202
2005
DOI: 10.1109/CDC.2005.1582321

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Abstract

The problem of finding a least squares solution for a system of bilinear equations is investigated. Suffcient conditions to have a unique minimum are given in the cases of random inputs. Three methods, the normalized iterative method, the over-parametrization method and the numerical method are presented for solving the least squares problem along with their convergence properties. Simulation examples are provided.
Cities and towns Convergence of numerical methods Cost function Equations Iterative methods Least squares methods Scattering Sufficient conditions Systems engineering and theory Vectors

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