Finding acceptable models in nonlinear inverse problems using a neighbourhood algorithm

Sambridge, Malcolm

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Finding acceptable models in nonlinear inverse problems using a neighbourhood algorithm

Date

2001

Authors

Sambridge, Malcolm

Publisher

Institute of Physics Publishing

Abstract

A recently proposed new class of direct search method is applied to the problem of mapping out the region of data-acceptable models (sets of unknowns) in a finite-dimensional nonlinear inverse problem. A model is defined to be data acceptable if its fit t

URI

http://hdl.handle.net/1885/89456

Collections

Open Access Research

Source

Inverse Problems

Type

Journal article

DOI

10.1088/0266-5611/17/3/302

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Finding acceptable models in nonlinear inverse problems using a neighbourhood algorithm

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