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An Iterative Method for the Least Squares Anti-bisymmetric Solution of the Matrix Equation AX = B

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Intelligent Science and Intelligent Data Engineering (IScIDE 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7202))

Abstract

Onthe base of conjugate gradient method of solving linear algebraic equations, using special transformation and approximating disposal,an iterative method is presented to solve the least squares anti-bisymmetric solution of the matrix equation AX = B. By this iterative method, for any initial anti-bisymmetric matrix, a solution can be obtained within finite iterative steps in the absence of round off errors, and the solution with least norm can be obtained by choosing a special initial matrix. In addition, the expression of its optimal approximation solution to a given matrix can be obtained.

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Li, L., Yuan, Xj., Liu, H. (2012). An Iterative Method for the Least Squares Anti-bisymmetric Solution of the Matrix Equation AX = B . In: Zhang, Y., Zhou, ZH., Zhang, C., Li, Y. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2011. Lecture Notes in Computer Science, vol 7202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31919-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-31919-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31918-1

  • Online ISBN: 978-3-642-31919-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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