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Year 2020, Volume: 3 Issue: 2, 109 - 114, 30.06.2020
https://doi.org/10.33434/cams.718365

Abstract

References

  • [1] A. Ben-Israel, T. N. E. Greville, Generalized Inverses, second ed., Springer, 2003.
  • [2] A. Ben-Israel, A. Charnes, Contributions to the theory of generalized inverses, SIAM J. App. Maths, 11 (3) (1963), 667–699.
  • [3] V. Pan and R. Sehreiber, An improved Newton iteration for the generalized inverse of a matrix, with applications, SIAM J. Sci. Statist. Comput. 12 (1991), 1109–1130.
  • [4] M. Z. Nashed, X. Chen, Convergence of Newton-like methods for singular operator equations using outer inverses, Numer. Math. 66 (1993), 235-257.
  • [5] G. Schulz, Iterative Berechnung der Reziproken matrix, Z. Angew. Math. Mech., 13 (1933), 57–59.
  • [6] H. Saberi Najafi, M. Shams Solary, Computational algorithms for computing the inverse of a square matrix, quasi-inverse of a nonsquare matrix and block matrices, Appl. Math. Comput., 183 (2006), 539–550.
  • [7] W. Li, Z. Li, A family of iterative methods for computing the approximate inverse of a square matrix and inner inverse of a non-square matrix, Appl. Math. Comput., 215 (2010), 3433–3442.
  • [8] H. Chen, Y. Wang, A family of higher-order convergent iterative methods for computing the Moore–Penrose inverse, Appl. Math. Comput., 218 (2011), 4012–4016.
  • [9] C. Chun, Iterative methods improving Newton’s method by the decomposition method, Comput. Math. Appl., 50 (2005), 1559–1568.
  • [10] J.F. Traub, Iterative Methods for Solution of Equations, Prentice-Hall, Englewood Cliffs, 1964.
  • [11] M. A. Noor, K. I. Noor, M. Waseem, Higher-order iterative algorithms for solving nonlinear equations, World Appl. Sci. J., 16 (2012), 1657–1663.
  • [12] L. Grosz, Preconditioning by incomplete block elimination, Numer. Linear Algebra Appl., 7 (2000) 527–541.
  • [13] F. Soleymani, A Rapid Numerical Algorithm to Compute Matrix Inversion, Int. J. Maths. Math. Sci., (2012), Article ID 134653, 11 pages.

A Family of Arbitrary High-Order Iterative Methods for Approximating Inverse and the Moore–Penrose Inverse

Year 2020, Volume: 3 Issue: 2, 109 - 114, 30.06.2020
https://doi.org/10.33434/cams.718365

Abstract

In this work, a family of iterative algorithms for approximating the inverse of a square matrix and the Moore-Penrose inverse of a non-square one is proposed. These methods are based on arbitrary high-order iterative techniques which are used for computing roots of a nonlinear function. Therefore the presented techniques occupy any high-order convergence. The proposed methods are convenient and self-explanatory, achieve satisfactory results, and also require less and easy computations compared to some current schemes. Experimental results are provided to illustrate the reliability and robustness of the techniques.

References

  • [1] A. Ben-Israel, T. N. E. Greville, Generalized Inverses, second ed., Springer, 2003.
  • [2] A. Ben-Israel, A. Charnes, Contributions to the theory of generalized inverses, SIAM J. App. Maths, 11 (3) (1963), 667–699.
  • [3] V. Pan and R. Sehreiber, An improved Newton iteration for the generalized inverse of a matrix, with applications, SIAM J. Sci. Statist. Comput. 12 (1991), 1109–1130.
  • [4] M. Z. Nashed, X. Chen, Convergence of Newton-like methods for singular operator equations using outer inverses, Numer. Math. 66 (1993), 235-257.
  • [5] G. Schulz, Iterative Berechnung der Reziproken matrix, Z. Angew. Math. Mech., 13 (1933), 57–59.
  • [6] H. Saberi Najafi, M. Shams Solary, Computational algorithms for computing the inverse of a square matrix, quasi-inverse of a nonsquare matrix and block matrices, Appl. Math. Comput., 183 (2006), 539–550.
  • [7] W. Li, Z. Li, A family of iterative methods for computing the approximate inverse of a square matrix and inner inverse of a non-square matrix, Appl. Math. Comput., 215 (2010), 3433–3442.
  • [8] H. Chen, Y. Wang, A family of higher-order convergent iterative methods for computing the Moore–Penrose inverse, Appl. Math. Comput., 218 (2011), 4012–4016.
  • [9] C. Chun, Iterative methods improving Newton’s method by the decomposition method, Comput. Math. Appl., 50 (2005), 1559–1568.
  • [10] J.F. Traub, Iterative Methods for Solution of Equations, Prentice-Hall, Englewood Cliffs, 1964.
  • [11] M. A. Noor, K. I. Noor, M. Waseem, Higher-order iterative algorithms for solving nonlinear equations, World Appl. Sci. J., 16 (2012), 1657–1663.
  • [12] L. Grosz, Preconditioning by incomplete block elimination, Numer. Linear Algebra Appl., 7 (2000) 527–541.
  • [13] F. Soleymani, A Rapid Numerical Algorithm to Compute Matrix Inversion, Int. J. Maths. Math. Sci., (2012), Article ID 134653, 11 pages.
There are 13 citations in total.

Details

Primary Language English
Subjects Mathematical Sciences
Journal Section Articles
Authors

Esmaeil Kokabifar

Publication Date June 30, 2020
Submission Date April 11, 2020
Acceptance Date June 24, 2020
Published in Issue Year 2020 Volume: 3 Issue: 2

Cite

APA Kokabifar, E. (2020). A Family of Arbitrary High-Order Iterative Methods for Approximating Inverse and the Moore–Penrose Inverse. Communications in Advanced Mathematical Sciences, 3(2), 109-114. https://doi.org/10.33434/cams.718365
AMA Kokabifar E. A Family of Arbitrary High-Order Iterative Methods for Approximating Inverse and the Moore–Penrose Inverse. Communications in Advanced Mathematical Sciences. June 2020;3(2):109-114. doi:10.33434/cams.718365
Chicago Kokabifar, Esmaeil. “A Family of Arbitrary High-Order Iterative Methods for Approximating Inverse and the Moore–Penrose Inverse”. Communications in Advanced Mathematical Sciences 3, no. 2 (June 2020): 109-14. https://doi.org/10.33434/cams.718365.
EndNote Kokabifar E (June 1, 2020) A Family of Arbitrary High-Order Iterative Methods for Approximating Inverse and the Moore–Penrose Inverse. Communications in Advanced Mathematical Sciences 3 2 109–114.
IEEE E. Kokabifar, “A Family of Arbitrary High-Order Iterative Methods for Approximating Inverse and the Moore–Penrose Inverse”, Communications in Advanced Mathematical Sciences, vol. 3, no. 2, pp. 109–114, 2020, doi: 10.33434/cams.718365.
ISNAD Kokabifar, Esmaeil. “A Family of Arbitrary High-Order Iterative Methods for Approximating Inverse and the Moore–Penrose Inverse”. Communications in Advanced Mathematical Sciences 3/2 (June 2020), 109-114. https://doi.org/10.33434/cams.718365.
JAMA Kokabifar E. A Family of Arbitrary High-Order Iterative Methods for Approximating Inverse and the Moore–Penrose Inverse. Communications in Advanced Mathematical Sciences. 2020;3:109–114.
MLA Kokabifar, Esmaeil. “A Family of Arbitrary High-Order Iterative Methods for Approximating Inverse and the Moore–Penrose Inverse”. Communications in Advanced Mathematical Sciences, vol. 3, no. 2, 2020, pp. 109-14, doi:10.33434/cams.718365.
Vancouver Kokabifar E. A Family of Arbitrary High-Order Iterative Methods for Approximating Inverse and the Moore–Penrose Inverse. Communications in Advanced Mathematical Sciences. 2020;3(2):109-14.

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