CGNRConjugate Gradient Normal Residual
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As the CGNR exhibits a monotonic decrease of the error, the stop condition of the CGNR is fixed from the [RMSE.
Thus, the time cost associated to the problem is mainly due to the calculation of the elements of the Z-matrix and the Matrix-Vector Products (MVPs) of each CGNR iteration.
3, we need finitely many iterations of the CGNR method.
We use the CGNR [30] to solve Equation (7) which provides a kind of least mean squares solution.
The computation associated to the MVP of each CGNR iteration has a time cost O(MN).