Physica A: Statistical Mechanics and its Applications
| العنوان: | Physica A: Statistical Mechanics and its Applications |
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| المؤلفون: | Mundim, Kleber Carlos, Lemaire, Thierry Jacques, Bassrei, Amin |
| المصدر: | Repositório Institucional da UFBA Universidade Federal da Bahia (UFBA) instacron:UFBA |
| سنة النشر: | 1998 |
| مصطلحات موضوعية: | Gravity inversion, Non-linear optimization, Ill-posed problems, Generalized simu- lated annealing |
| الوصف: | Texto completo: acesso restrito. p.405–416 Submitted by Suelen Reis (suelen_suzane@hotmail.com) on 2013-01-30T14:40:08Z No. of bitstreams: 1 Mundim.pdf: 168374 bytes, checksum: 82036553b83b378627a488604caed5d8 (MD5) Approved for entry into archive by Fatima Cleômenis Botelho Maria (botelho@ufba.br) on 2013-01-31T13:02:20Z (GMT) No. of bitstreams: 1 Mundim.pdf: 168374 bytes, checksum: 82036553b83b378627a488604caed5d8 (MD5) Made available in DSpace on 2013-01-31T13:02:20Z (GMT). No. of bitstreams: 1 Mundim.pdf: 168374 bytes, checksum: 82036553b83b378627a488604caed5d8 (MD5) Previous issue date: 1998 In this paper we apply the generalized simulated annealing (GSA) approach to the inversion of gravity data for 2-D and 3-D density distributions. We consider a modeling process where the input is the vector of model parameters m (that can be density contrast, mass or some coordinates) and the output is described by the transformation h(m)=d, where d is the vector of data parameters, we generally have access in practical problems. If the vector d describes the observed actual output of the system, the problem is to “choose”, or estimate, the parameters mest in order to minimize, in some sense, in our case in the least-squares sense, the difference between the observed vector d and the prescribed output of the system h(mest). The tests with synthetic data show the promising application of GSA in gravity inversion. The results obtained suggest us that the GSA approach enables to find quickest optimization machines than the two conventional approaches (Boltzmann and Cauchy machines). |
| اللغة: | English |
| DOI: | 10.1016/S0378-4371(97)00634-1 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=od______3056::606227f0e33d70cd0c27492b18ad0f5c http://www.repositorio.ufba.br/ri/handle/ri/8287 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.od......3056..606227f0e33d70cd0c27492b18ad0f5c |
| قاعدة البيانات: | OpenAIRE |
| DOI: | 10.1016/S0378-4371(97)00634-1 |
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