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A class of direct methods for linear systems

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Summary

A class of methods of direct type for solving determined or underdetermined, full rank or deficient rank linear systems is presented and theoretically analyzed. The class can be considered as a generalization of the methods of Brent and Brown as restricted to linear systems and implicitly contains orthogonal,LU andLL T factorization methods.

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References

  1. Abaffy, J.: A linearis egyenletrendszerek àltalànos megoldàsànak egy direkt mòdszerosztàlya. Alk. Mat. Lapok4, 233–240 (1979)

    Google Scholar 

  2. Abaffy, J., Spedicato, E. A generalization of Huang's method for solving systems of linear algebraic equations. BUMI, in press (1984)

  3. Abaffy, J., Spedicato, E.: Computational experience with a class of direct methods for linear systems. Report SOFTMAT 1/83, University of Bergamo (1983)

  4. Abaffy, J., Broyden, C.C., Spedicato, E.: A class of direct methods of Quasi-Newton type for general linear systems. Quaderno IAC/SOFTMAT, Rome, in press (1984)

  5. Brent, R.P.: On maximizing the efficiency of algorithms for solving systems of nonlinear equations, Report 3725, IBM Scientific Centre, Yorktown Heights (1972)

    Google Scholar 

  6. Brown, K.M.: A quadratically convergent Newton-like method based upon gaussian elimination, Report TR 68/23, Cornell University (1968)

  7. Broyden, C.G.: Numerical stability of conjugate gradient and similar algorithms. Communication; Mathematical Programming Conference, Bonn (1982)

  8. Charalambous, C.: Unconstrained optimization based upon a homogeneous model. Mathem. Progr.5, 189–198 (1973)

    Google Scholar 

  9. Cosnard, M.: Sur quelques méthodes Newton-like de résolution de systèmes d' équations nonlinéaires. Report 239, Université de Grenoble (1975)

  10. Gay, D.M.: Brown's method and some generalizations, with applications to minimization problems. Report TR 75/225, Cornell University, (1975)

  11. Gregory R., Karnel, D.: A collection of matrices for testing computational algorithms. New York: Wiley 1969

    Google Scholar 

  12. Householder, A.: Terminating and nonterminating iterations for solving linear systems. J. Soc. Ind. Appl. Math.3, 67–72 (1955)

    Google Scholar 

  13. Huang, H.Y.: A direct method for the general solution of a system of linear equations. JOTA16, 429–445 (1975)

    Google Scholar 

  14. Martinez, J.: Generalization of the methods of Brent and Brown for solving nonlinear simultaneous equations. SIAM J. Numer. Analysis16, 434–448 (1979)

    Google Scholar 

  15. More, J.J., Cosnard, M.: Numerical comparison of three nonlinear equation solvers. Report TM 286, Argonne National Laboratory (1976)

  16. Rosen, J.: The gradient projection method for nonlinear programming I: linear constraints. SIAM J. Appli. Math.8, 181–217 (1960)

    Google Scholar 

  17. Saad, Y.: The Lanczos biorthogonalization algorithm and other oblique projection methods for solving large unsymmetric systems. SIAM J. Numer. Analysis19, 485–506 (1982)

    Google Scholar 

  18. Sloboda, F.: Parallel method of conjugate directions for minimization. Aplikace Matematiky20, 436–446 (1975)

    Google Scholar 

  19. Spedicato, E.: A bound on the condition number of rank-two updates and applications to variable metric methods. Calcolo12, 185–200 (1975)

    Google Scholar 

  20. Stewart, G.W.: Conjugate direction methods for solving systems of linear equations. Numer. Math.21, 285–297 (1973)

    Google Scholar 

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Abaffy, J., Broyden, C. & Spedicato, E. A class of direct methods for linear systems. Numer. Math. 45, 361–376 (1984). https://doi.org/10.1007/BF01391414

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