The nonlinear inversion algorithm based on MLNI is applied to inversion problems which can concentrate the imaging region to a particular range instead of whole 3 D domain.
在反演中采用基于MLNI的非线性反演方法，利用这种方法可以将成像区域集中于一定范围内而不是整个三维空间。
It adopts a nonlinear code based on resources and tasks and inversion operation, meanwhile, a coarse-grained model is applied to design the GRAPGEP algorithm.
该算法采用了基于资源与任务相关的非线性的编码方式和反转操作，同时应用粗粒度模型设计了该算法。
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