03422nam a2200433 a 4500 EBC1099853 MiAaPQ 20250821123344.0 m o d | cr cn||||||||| 121116s2013 enka sb 001 0 eng d 2012033212 9781107011908 (hardback) 9781139612074 (electronic bk.) (MiAaPQ)EBC1099853 (Au-PeEL)EBL1099853 (CaPaEBR)ebr10659320 (CaONFJC)MIL457014 (OCoLC)827944810 MiAaPQ MiAaPQ MiAaPQ QE43 .S46 2013 550.1/515357 23 Sen, Mrinal K. 474399 Global optimization methods in geophysical inversion [electronic resource] / Mrinal K. Sen and Paul L. Stoffa. 2nd ed. Cambridge : Cambridge University Press, 2013. xii, 289 p. : ill. Includes bibliographical references and index. "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."-- Provided by publisher. Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. Geological modeling. 474400 Geophysics Mathematical models. 474401 Inverse problems (Differential equations) 474402 Mathematical optimization. 36731 Electronic books. 35142 Stoffa, Paul L., 1948- 474403 ProQuest (Firm) 474404 https://ebookcentral.proquest.com/lib/kuct-ebooks/detail.action?docID=1099853 Click to View 295633 295633