College of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing 400067, China;Chongqing key Laboratory of Social Economy and Applied Statistics, Chongqing 400067, China;Chongqing Key Laboratory of Electronic Commerce & Supply Chain System, Chongqing 400067, China
Abstract:The author studied the QR factorization and generalized inverse of universal extended matrix.and the system parameter estimate is discussed.In addition,the formula of the QR factorization and generalized inverse of universal extended matrix were given.The results show that the algorithm is simple and fast,and it does not reduce the numerical accuracy.Another some results of paper[8,9] are generalized.
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