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B-Nekrasov matrices and error bounds for linear complementarity problems

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Abstract

The class of B-Nekrasov matrices is a subclass of P-matrices that contains Nekrasov Z-matrices with positive diagonal entries as well as B-matrices. Error bounds for the linear complementarity problem when the involved matrix is a B-Nekrasov matrix are presented. Numerical examples show the sharpness and applicability of the bounds.

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References

  1. Berman, A., Plemmons, R.J.: Nonnegative matrices in the mathematical sciences, Classics in Applied Mathematics 9. SIAM, Philadelphia (1994)

    Book  MATH  Google Scholar 

  2. Chen, T., Li, W., Wu, X., Vong, S.: Error bounds for linear complementarity problems of MB-matrices. To appear in Numer. Algor. (doi:10.1007/s11075-014-9950-9)

  3. Chen, X., Xiang, S.: Computation of error bounds for P-matrix linear complementarity problems. Math. Program., Ser. A 106, 513–525 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  4. Cottle, R.W., Pang, J.-S., Stone, R.E.: The linear complementarity problems. Academic Press, Boston (1992)

    MATH  Google Scholar 

  5. Cvetković, L., Dai, P.-F., Doroslovaški, K., Li, Y.-T.: Infinity norm bounds for the inverse of Nekrasov matrices. Appl. Math. Comput. 219, 5020–5024 (2013)

    MathSciNet  MATH  Google Scholar 

  6. Dai, P.-F.: Error bounds for linear complementarity problems of DB-matrices. Linear Algebra Appl. 434, 830–840 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  7. Dai, P.-F., Lu, Ch.-J., Li, Y.-T.: New error bounds for the linear complementarity problem with an SB-matrix. Numer. Algor. 64, 741–757 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  8. García-Esnaola, M., Peña, J. M.: Error bounds for linear complementarity problems for B-matrices. Appl. Math. Lett. 22, 1071–1075 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  9. García-Esnaola, M., Peña, J.M.: A comparison of error bounds for linear complementarity problems of H-matrices. Linear Algebra Appl. 433, 956–964 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  10. García-Esnaola, M., Peña, J.M.: Error bounds for linear complementarity problems of B S-matrices. Appl. Math. Lett. 25, 1379–1383 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  11. García-Esnaola, M., Peña, J.M.: Error bounds for linear complementarity problems of Nekrasov matrices. Numer. Algor. 67, 655–667 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  12. Mathias, R., Pang, J.-S.: Error bounds for the linear complementarity problem with a P-matrix. Linear Algebra Appl. 132, 123–136 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  13. Peña, J.M.: A class of P-matrices with applications to the localization of the eigenvalues of a real matrix. SIAM J. Matrix Anal. Appl. 22, 1027–1037 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  14. Peña, J.M.: On an alternative to Gerschgorin circles and ovals of Cassini. Numer. Math. 95, 337–345 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  15. Szulc, T.: Some remarks on a theorem of Gudkov. Linear Algebra Appl. 225, 221–235 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  16. Varah, J.M.: A lower bound for the smallest singular value of a matrix. Linear Algebra Appl. 11, 3–5 (1975)

    Article  MathSciNet  MATH  Google Scholar 

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García-Esnaola, M., Peña, J.M. B-Nekrasov matrices and error bounds for linear complementarity problems. Numer Algor 72, 435–445 (2016). https://doi.org/10.1007/s11075-015-0054-y

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  • DOI: https://doi.org/10.1007/s11075-015-0054-y

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