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An Adaptive Algorithm Finding Multiple Roots of Polynomials

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Advances in Neural Networks - ISNN 2008 (ISNN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5264))

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Abstract

An adaptive algorithm is proposed to find multiple roots of polynomials which were not well solved by the other methods. Its convergence was presented and proved. The computation is carried out by simple steepest descent rule with adaptive variable learning rate. The specific examples showed that the proposed method can find the multiple roots of polynomials at a very rapid convergence and very high accuracy with less computation.

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References

  1. Burden, R.L., Faires, J.D.: Numerical Analysis, 7th edn., pp. 47–103. Thomson Learning, Inc. (August 2001)

    Google Scholar 

  2. Zeng, Z.Z., Wen, H.: Numerical Computation, 1st edn., pp. 88–108. Qinghua University Press, Beijing (2005)

    Google Scholar 

  3. Xu, C.-F., Wang, M.M., Wang, N.H.: An Accelerated Iiteration Solution to Nonlinear Equation in Large Scope. J. Huazhong Univ. of Sci. & Tech(Nature Science Edition) 4, 122–124 (2006)

    Google Scholar 

  4. Markus, L., Frenzel, B.-C.: Polynomial Root Finding. IEEE Signal Processing Letters 10, 141–143 (1994)

    Google Scholar 

  5. Jenkins, M.A., Traub, J.F.: A Three-Stage Algorithm for Real Polynomials Using Quadratic Iiteration. SIAM Journal On Numerical Analysis 4, 545–566 (1970)

    Article  MathSciNet  Google Scholar 

  6. Orchard, H.J.: The Laguerre Method for Finding the Zeros of Polynomials. IEEE Trans. On Circuits and Systems 11, 1377–1381 (1989)

    Article  MathSciNet  Google Scholar 

  7. Lucas, T.N.: Finding Roots of Polynomials by Using the Routh Array. IEEE Electronics Letters 16, 1519–1521 (1996)

    Article  Google Scholar 

  8. Truong, T.K., Jeng, J.H., Reed, I.S.: Fast Algorithm for Computing the Roots of Error Locator Polynomials up to Degree 11 in Reed-Solomon Decoders. IEEE Trans. Commun. 49, 779–783 (2001)

    Article  MATH  Google Scholar 

  9. Sergei, V.F., Peter, V.T.: Finding Roots of Polynomials over Finite Fields. IEEE Trans. Commun. 50, 1709–1711 (2002)

    Article  Google Scholar 

  10. Cui, X.-Z., Yang, D.-D., Long, Y.: The Fast Halley Algorithm for Finding All Zeros of a Polynomial. Chinese Journal of Engineering Mathematics 23, 511–517 (2006)

    MATH  MathSciNet  Google Scholar 

  11. Ehrlich, L.W.: A Modified Newton Method for Polynomials. Comm. ACM 10, 107–108 (1967)

    Article  MATH  Google Scholar 

  12. Huang, Q.-L.: An Improvement on a Modified Newton Method. Numerical Mathematics: A Journal of Chinese Universities 11, 313–319 (2002)

    Google Scholar 

  13. Huang, Q.-L., Wu, J.C.: On a Modified Newton Method for Simultaneous Finding Polynomial Zeros. Journal On Numerical Methods And Computer Applications (Beijing, China) 28, 292–298 (2006)

    MathSciNet  Google Scholar 

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© 2008 Springer-Verlag Berlin Heidelberg

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Zhu, W., Zeng, Zz., Lin, Dm. (2008). An Adaptive Algorithm Finding Multiple Roots of Polynomials. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_77

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  • DOI: https://doi.org/10.1007/978-3-540-87734-9_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87733-2

  • Online ISBN: 978-3-540-87734-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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