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The Jordan Structure of Residual Dynamics Used to Solve Linear Inverse Problems

Chein-Shan Liu1, Su-Ying Zhang2, Satya N. Atluri3

Department of Civil Engineering, National Taiwan University, Taipei, Taiwan. E-mail: liucs@ntu.edu.tw
College of Physics and Electronic Engineering, Shanxi University, Taiyuan, China.
Center for Aerospace Research & Education, University of California, Irvine

Computer Modeling in Engineering & Sciences 2012, 88(1), 29-48. https://doi.org/10.3970/cmes.2012.088.029

Abstract

With a detailed investigation of n linear algebraic equations Bx=b, we find that the scaled residual dynamics for y∈Sn−1 is equipped with four structures: the Jordan dynamics, the rotation group SO(n), a generalized Hamiltonian formulation, as well as a metric bracket system. Therefore, it is the first time that we can compute the steplength used in the iterative method by a novel algorithm based on the Jordan structure. The algorithms preserving the length of y are developed as the structure preserving algorithms (SPAs), which can significantly accelerate the convergence speed and are robust enough against the noise in the numerical solutions of ill-posed linear inverse problems.

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APA Style
Liu, C., Zhang, S., Atluri, S.N. (2012). The jordan structure of residual dynamics used to solve linear inverse problems. Computer Modeling in Engineering & Sciences, 88(1), 29-48. https://doi.org/10.3970/cmes.2012.088.029
Vancouver Style
Liu C, Zhang S, Atluri SN. The jordan structure of residual dynamics used to solve linear inverse problems. Comput Model Eng Sci. 2012;88(1):29-48 https://doi.org/10.3970/cmes.2012.088.029
IEEE Style
C. Liu, S. Zhang, and S.N. Atluri "The Jordan Structure of Residual Dynamics Used to Solve Linear Inverse Problems," Comput. Model. Eng. Sci., vol. 88, no. 1, pp. 29-48. 2012. https://doi.org/10.3970/cmes.2012.088.029



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