Shows improved computation of matrix square roots in matrices, suggesting enhanced efficiency.
This paper develops a new rational fixed-point iteration for sign(M) whose scalar prototype enjoys half-plane global convergence and a quartic local error contraction. By embedding M into a block matrix and exploiting the classical sign–square root identity, the proposed iteration yields M1/2 and M−1/2 within a single iterative run under standard spectral admissibility conditions. A norm-balancing scaling strategy is also incorporated to accelerate the initial phase without changing the asymptotic order. Numerical experiments in a unified implementation demonstrate that the method reduces iteration counts and time compared with Newton-type and Padé-based competitors.
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Haifa Bin Jebreen (2026) studied this question.
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