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Modeling One Dimensional Two-Cell Model with Tumor Interaction Using Krylov Subspace Methods
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作者 Ibtisam Alqahtani Sharefa Eisa Ali Alhazmi 《Applied Mathematics》 2023年第1期21-34,共14页
A brain tumor occurs when abnormal cells grow, sometimes very rapidly, into an abnormal mass of tissue. The tumor can infect normal tissue, so there is an interaction between healthy and infected cell. The aim of this... A brain tumor occurs when abnormal cells grow, sometimes very rapidly, into an abnormal mass of tissue. The tumor can infect normal tissue, so there is an interaction between healthy and infected cell. The aim of this paper is to propose some efficient and accurate numerical methods for the computational solution of one-dimensional continuous basic models for the growth and control of brain tumors. After computing the analytical solution, we construct approximations of the solution to the problem using a standard second order finite difference method for space discretization and the Crank-Nicolson method for time discretization. Then, we investigate the convergence behavior of Conjugate gradient and generalized minimum residual as Krylov subspace methods to solve the tridiagonal toeplitz matrix system derived. 展开更多
关键词 PDES Krylov Subspace Methods Finite Difference Toeplitz Matrix Two-Cell Model tumor interaction modeling
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