【摘要】 引入对称超松弛预条件共轭梯度 (SSOR PCG)迭代算法求解电阻率三维有限元计算形成的大型线性方程组 ,并有机结合系数矩阵的稀疏存储模式 ,使得三维有限元正演计算的速度大大提高而内存需求则大大减少 .该算法可方便地应用于求三维异常电位 ,在保持快速计算的基础上 ,正演计算的精度显著提高 .更多还原

【Abstract】 In this study, symmetric successive overrelaxation preconditioned conjugate gradient (SSOR-PCG) algorithm is used to solve large linear system derived from 3-D finite-element resistivity forward modeling. Using row-indexed sparse storage mode to store coefficient matrix, the algorithm converges much quickly and requires much less storage of computer. It is very convenient to be applied to the solution of the secondary potential, achieving much higher accuracy while the calculation is keeping fast.更多还原