Recent advances in solvers for nonlinear alegebraic equations

Authors

  • Deborah Dent University of Southern Mississippi
    United States
  • Marcin Paprzycki University of Southern Mississippi
    United States
  • Anna Kucaba-Piętal Technical University of Rzeszów
    Poland

Abstract

In this paper the performance of four solvers for systems of nonlinear algebraic equations applied to a number of test problems with up to 250 equations is discussed. These problems have been collected from research papers and from the Internet and are often recognized as "standard" tests. Solver quality is assessed by studying their convergence and sensitivity to simple starting vectors. Experimental data is also used to categorize the test problems themselves. Future research directions are summarized.

References

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[3] A. Bouaricha, R. Schnabel. Algorithm 768: TENSOLVE: A software package for solving systems of nonlinear equations and nonlinear least-squares problems using tensor methods. ACM Trans. Math. Software, 23(2): 174-195, 1997.
[4] R.L. Burden, J .D. Faries. Numerical Analysis, 575- 576. PWS-Kent Publishing Company, Boston, 1993.
[5] D. Dent, M. Paprzycki, A. Kucaba-Piętal. Performance of solvers for systems of nonlinear algebraic equations. Proceedings of 15th Annual Conf. on Applied Math, Edmond, OK, 67- 77, 1999.

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Published

2023-03-29

Issue

pp. 493-505

Section

Articles

How to Cite

Dent, D., Paprzycki, M., & Kucaba-Piętal, A. (2023). Recent advances in solvers for nonlinear alegebraic equations. Computer Assisted Methods in Engineering and Science, 7(4), 493-505. https://cames3.ippt.pan.pl/index.php/cames/article/view/1207