Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté. Image fixe : sans médiation
Auteur(s) : Sen, Mrinal K.
Stoffa, Paul L. (1948-....)
Titre(s) : Global optimization methods in geophysical inversion [Texte imprimé] / Mrinal K. Sen,... and Paul L. Stoffa,...
Édition : 2nd ed.
Publication : Cambridge : Cambridge university press, cop. 2013
Description matérielle : 1 vol. (XII-289 p.) : ill. ; 26 cm
Note(s) : Bibliogr. p. 268-278
"Making inferences about systems in the Earth's subsurface from remotely-sensed, sparse
measurements is a challenging task. Geophysical inversion aims to find models which
explain geophysical observations - a model-based inversion method attempts to infer
model parameters by iteratively fitting observations with theoretical predictions
from trial models. Global optimization often enables the solution of non-linear models,
employing a global search approach to find the absolute minimum of an objective function,
so that predicted data best fits the observations. This new edition provides an up-to-date
overview of the most popular global optimization methods, including a detailed description
of the theoretical development underlying each method, and a thorough explanation
of the design, implementation, and limitations of algorithms. A new chapter provides
details of recently-developed methods, such as the neighborhood algorithm, and particle
swarm optimization. An expanded chapter on uncertainty estimation includes a succinct
description on how to use optimization methods for model space exploration to characterize
uncertainty, and now discusses other new methods such as hybrid Monte Carlo and multi-chain
MCMC methods. Other chapters include new examples of applications, from uncertainty
in climate modeling to whole earth studies. Several different examples of geophysical
inversion, including joint inversion of disparate geophysical datasets, are provided
to help readers design algorithms for their own applications. This is an authoritative
and valuable text for researchers and graduate students in geophysics, inverse theory,
and exploration geoscience, and an important resource for professionals working in
engineering and petroleum exploration. "--
Sujet(s) : Modèles en géologie
Géophysique -- Modèles mathématiques
Indice(s) Dewey :
550.151 5 (23e éd.) = Sciences de la Terre - Analyse mathématique
Identifiants, prix et caractéristiques : ISBN 9781107011908. - ISBN 1107011906 (rel.)
Identifiant de la notice : ark:/12148/cb435430020
Notice n° :
FRBNF43543002
(notice reprise d'un réservoir extérieur)