An iterative computational method, based on the method of A. Ben Israel and D. Cohen (1966), for computing the pseudoinverse A** plus of a matrix A is developed. Singular value decomposition (SVD) is used to analyze its properties (covergence, stability, etc. ) and to compute the lower bound of the number of iterations. A careful error analysis is performed, and four new formulas are investigated that can be used directly to calculate the upper bounds on the error once the distribution of the singular values of A is known.
|Original language||English (US)|
|Title of host publication||Unknown Host Publication Title|
|Editors||Antonio Luque, A.R. Figueiras Vidal, J.M.R. Delgado|
|Number of pages||3|
|State||Published - 1985|
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