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
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