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[01472] The Arithmetic Mean iterative methods for solving brain glioma growth models

  • Session Time & Room : 1C (Aug.21, 13:20-15:00) @F310
  • Type : Contributed Talk
  • Abstract : Brain tumour is the uncontrolled growth of normal brain cells and most malignant form is known as glioma. In this work, the formulation and implementation of the Arithmetic Mean iterative methods for solving glioma growth models are presented. Numerical results and convergence analysis are included to verify the performance of the proposed methods.
  • Classification : 41A55, 45A05, 45B05, 65D32, 65F10
  • Format : Talk at Waseda University
  • Author(s) :
    • Mohana Sundaram Muthuvalu (Universiti Teknologi PETRONAS)
    • Jumat Sulaiman (Universiti Malaysia Sabah)
    • Elayaraja Aruchunan (Universiti Malaya)
    • Majid Ali (Universiti Sains Malaysia)
    • Ramoshweu Solomon Lebelo (Vaal University of Technology)