000			02419nam a22003738i 4500
001			CR9780511997570
003			UkCbUP
005			20200124160259.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110111s2013||||enk o ||1 0|eng|d
020			_a9780511997570 (ebook)
020			_z9781107011908 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQE43 _b.S46 2013
082	0	0	_a550.1/515357 _223
100	1		_aSen, Mrinal K., _eauthor.
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.
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 online resource (xii, 289 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aProviding an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, 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.
650		0	_aGeophysics _xMathematical models.
650		0	_aInverse problems (Differential equations)
650		0	_aMathematical optimization.
700	1		_aStoffa, Paul L., _d1948- _eauthor.
776	0	8	_iPrint version: _z9781107011908
856	4	0	_uhttps://doi.org/10.1017/CBO9780511997570
999			_c520217 _d520215