Abstract
AbstractThe symmetric successive overrelaxation (SSOR) preconditioned conjugate gradient algorithm is used to solve large linear systems derived from 3‐D finite‐element resistivity forward modeling. Combined with the 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.
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