Application of Jacobi - Conjugate Gradient Method in the Two-Dimensional Magnetotelluric Forward

Abstract:

Using the finite element method and all kinds of numerical simulation method, A large-scale system of linear equations is solved eventually,the solution method of the system of equations largely determines the solution efficiency and precision of numerical calculation. The Jacobi iteration preconditioning conjugate gradient method is adopted, Both overcome the coefficient matrix pathological characteristics and the characteristics of slow convergence speed ,and avoid the disadvantages such as Newton's method to store and Hessian matrix is calculated and inversed,improve forward modeling calculation speed and accuracy. Guarantee for solving numerical stability and efficiency ,of the thick grid combined with verification, the algorithm is feasible and it is verified by coarse grid combine with fine grid.

• Periodical: Applied Mechanics and Materials (Volumes 416-417)
• Pages: 2123-2127
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.416-417.2123
• Online since: September 2013
• Authors: Chong Li Zhu
• Keywords: 2D Forward Modeling, Conjugate Gradient, Preprocessing

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