The adjoint method is a powerful tool to obtain gradient information in a computational model relative to unknown model parameters,allowing one to solve inverse problems where analytical solutions are not available or...The adjoint method is a powerful tool to obtain gradient information in a computational model relative to unknown model parameters,allowing one to solve inverse problems where analytical solutions are not available or the cost to determine prohibitive.展开更多
基金funding through the infrastructure program of the German Science Foundation(DFG)for geophysical capacity computingDFG funding through the SPP 1375(SAMPLE)as well as generous computing support through the Leibniz Rechenzentrum(LRZ)of the Bavarian Academy of Sciences.
文摘The adjoint method is a powerful tool to obtain gradient information in a computational model relative to unknown model parameters,allowing one to solve inverse problems where analytical solutions are not available or the cost to determine prohibitive.
