Finding acceptable models in nonlinear inverse problems using a neighbourhood algorithm

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