000			02700cam a2200265 i 4500
008			121116s2013 enk b 001 0 eng
020			_a9781107011908
040			_aSDU
050	0	0	_aQE43 _bS474 G 2013
100	1		_aSen, Mrinal K. _9210850
245	1	0	_aGlobal optimization methods in geophysical inversion / _cMrinal K. Sen, University of Texas, Austin, USA and Paul L. Stoffa, The University of Texas, Austin, USA.
250			_a2nd ed
260			_aNew York : _bCambridge University Press, _c2013
300			_a289 p.
505			_aHKBU Library
520			_a"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. "--
650		0	_aGeological modeling. _9210851
650		0	_aGeophysics _xMathematical models. _9210852
650		0	_aInverse problems (Differential equations) _9205854
650		0	_aMathematical optimization.
650		7	_aSCIENCE / Geophysics. _9210853
700	1		_aStoffa, Paul L., _d1948- _9210854
900			_a = C.1 SDU
942			_cGBE _2lcc
999			_c109368 _d109368