A modified version of Jacobi approach

  • Authors:
  • Bikash Kanti Sarkar;Shib Sankar Sana;P. K. Mahanti

  • Affiliations:
  • Department of Information Technology, Birla Institute of Technology, Mesra, Ranchi, India.;Department of Mathematics, Bhangar Mahavidyalaya, University of Calcutta, Bhangar-743502, 24PGS (South), West Bengal, India.;Department of Computer Science & Applied Statistics, University of New Burnswick, Saint Jhon, New Brunswick, E2L 4L5, Canada

  • Venue:
  • International Journal of Innovative Computing and Applications
  • Year:
  • 2009

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Abstract

Several well-known approaches exist to solve a set of linear equations. This short paper introduces a modified version of the existing sequential Jacobi iterative method. The prime contribution of the present investigation is that the variables which achieve smaller than the prescribed accuracy in the earlier iteration will not be updated further as before. Although these are updated in a simpler way to filter the non-converged variables, consequently, it reduces execution time to a great extent. Results demonstrate that the proposed approach outperforms the most of the linear sets.