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Finding acceptable models in nonlinear inverse problems using a neighbourhood algorithm

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Sambridge, Malcolm

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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

dc.contributor.authorSambridge, Malcolm
dc.date.accessioned2015-12-13T23:16:32Z
dc.date.available2015-12-13T23:16:32Z
dc.identifier.issn0266-5611
dc.identifier.urihttp://hdl.handle.net/1885/89456
dc.description.abstractA 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
dc.publisherInstitute of Physics Publishing
dc.sourceInverse Problems
dc.titleFinding acceptable models in nonlinear inverse problems using a neighbourhood algorithm
dc.typeJournal article
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.citationvolume17
dc.date.issued2001
local.identifier.absfor010111 - Real and Complex Functions (incl. Several Variables)
local.identifier.ariespublicationMigratedxPub19490
local.type.statusPublished Version
local.contributor.affiliationSambridge, Malcolm, College of Physical and Mathematical Sciences, ANU
local.bibliographicCitation.startpage387
local.bibliographicCitation.lastpage403
local.identifier.doi10.1088/0266-5611/17/3/302
dc.date.updated2015-12-12T08:48:35Z
local.identifier.scopusID2-s2.0-0035362906
CollectionsANU Research Publications

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