Dynamical Systems Method for solving Ill-Conditioned Linear Algebraic Systems

被引:7
|
作者
Indratno, Sapto W. [1 ]
Ramm, A. G. [1 ]
机构
[1] Kansas State Univ, Dept Math, Manhattan, KS 66506 USA
关键词
Hilbert matrix; FIEFK; Fredholm integral equations of the first kind; iterative regularisation; variational regularisation; discrepancy principle; DSM; Dynamical Systems Method;
D O I
10.1504/IJCSM.2009.030911
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A new method, the Dynamical Systems Method (DSM), justified recently, is applied to solving Ill-Conditioned Linear Algebraic System (ICLAS). The DSM gives a new approach to solving a wide class of ill-posed problems. In this paper a new iterative scheme for solving ICLAS is proposed. This iterative scheme is based on the DSM solution. An a posteriori stopping rules for the proposed method is justified. This paper also gives an a posteriori stopping rule for a modified iterative scheme developed in A.G. Ramm, Jour. Math. Anal. Appl., Vol. 330 (2007), pp. 1338-1346, and proves convergence of the solution obtained by the iterative scheme.
引用
收藏
页码:308 / 333
页数:26
相关论文
共 50 条
  • [31] An exponential approach to highly ill-conditioned linear systems
    Wu, Xinyuan
    [J]. APPLIED MATHEMATICS LETTERS, 2023, 140
  • [32] Preconditioning for accurate solutions of ill-conditioned linear systems
    Ye, Qiang
    [J]. NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, 2020, 27 (04)
  • [33] Hybrid Artificial Fish Swarm Algorithm for Solving Ill-Conditioned Linear Systems of Equations
    Zhou, Yongquan
    Huang, Huajuan
    Zhang, Junli
    [J]. INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT I, 2011, 134 (0I): : 656 - 661
  • [34] On a Stochastic Regularization Technique for Ill-Conditioned Linear Systems
    Moura, Henrique Gomes
    Costa Junior, Edson
    Lenzi, Arcanjo
    Rispoli, Vinicius Carvalho
    [J]. OPEN ENGINEERING, 2019, 9 (01): : 52 - 60
  • [35] A rational Arnoldi approach for ill-conditioned linear systems
    Brezinski, C.
    Novati, P.
    Redivo-Zaglia, M.
    [J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2012, 236 (08) : 2063 - 2077
  • [36] Ill-conditioned convex processes and conic linear systems
    Lewis, AS
    [J]. MATHEMATICS OF OPERATIONS RESEARCH, 1999, 24 (04) : 829 - 834
  • [37] Root loci of ill-conditioned linear predictive systems
    Bäckström, T
    [J]. 2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3, 2004, : 117 - 120
  • [38] On an Orthogonal Method of Finding Approximate Solutions of Ill-Conditioned Algebraic Systems and Parallel Computation
    Otelbaev, M.
    Tuleuov, B. I.
    Zhussupova, D.
    [J]. WORLD CONGRESS ON ENGINEERING - WCE 2013, VOL I, 2013, : 54 - 58
  • [39] A stabilized GMRES method for singular and severely ill-conditioned systems of linear equations
    Zeyu Liao
    Ken Hayami
    Keiichi Morikuni
    Jun-Feng Yin
    [J]. Japan Journal of Industrial and Applied Mathematics, 2022, 39 : 717 - 751
  • [40] A stabilized GMRES method for singular and severely ill-conditioned systems of linear equations
    Liao, Zeyu
    Hayami, Ken
    Morikuni, Keiichi
    Yin, Jun-Feng
    [J]. JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, 2022, 39 (02) : 717 - 751