Because this adjustment is made using an approximation of the model equations, the entire process—the simulation, the comparisons, the adjoint model and the optimization—must be repeated again and again to fine-tune the results.
Because this adjustment is made using an approximation of the model equations, the entire process—the simulation, the comparisons, the adjoint model and the optimization—must be repeated again and again to fine-tune the results.
由于这个方法是利用对模式方程式的近似来进行调整，因此整个程序（模拟、比较、共轭模式以及最佳化）必须不断地重复来微调结果。