A robust descent type algorithm for geophysical inversion through adaptive regularization

Indrajit G. Roy

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A robust descent type algorithm for geophysical inversion through adaptive regularization

机译：通过自适应正则化进行地球物理反演的鲁棒下降型算法

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摘要

A robust descent type algorithm through adaptive regularization is designed to solve a geophysical in- verse problem. The scheme uses a regularized descent direction direction which is obtained through minimization of smoothed functional in every iterative step. The step length factor is chosen using Armijo's rule. Numerical experiment conducted to invert synthetic and field geophysical data demonstrates a high order of ro- bustness in retrieving the model parameters.

机译：通过自适应正则化设计了一种鲁棒的下降类型算法，用于解决地球物理逆问题。该方案使用通过在每个迭代步骤中最小化平滑函数而获得的规则下降方向。使用Armijo规则选择步长因子。对合成和现场地球物理数据进行反演的数值实验表明，在检索模型参数时，鲁棒性很高。

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来源
《Applied Mathematical Modelling》 |2002年第5期|p.619-634|共16页
作者
Indrajit G. Roy;
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作者单位

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类应用数学;
关键词
Descent type algorithm; Regularization; Geophysical inversion;

机译：下降类型算法;正则化;地球物理反演;

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A robust descent type algorithm for geophysical inversion through adaptive regularization

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