000			02027nam a2200325 a 4500
005			20250918162359.0
008			120620s2012 mau b 001 0 eng
020			_a9780123971609 (hbk.) _cRM284.24
039		9	_a201305280919 _bzabidah _c201305161303 _drasyilla _y06-20-2012 _zrasyilla
040			_aDLC _cDLC _dUKM
090			_aQC802.A1M46 2012
090			_aQC802.A1 _bM46 2012
100	1		_aMenke, William.
245	1	0	_aGeophysical data analysis : _bdiscrete inverse theory / _cWilliam Menke.
250			_aMatlab ed., 3rd ed.
260			_aWaltham, MA : _bAcademic Press, _c2012.
300			_axxxvi, 293 p. : _bill. _c24 cm.
504			_aIncludes bibliographical references and index.
520			_a'The treatment of inverse theory in this book is divided into four parts. Chapters 1 and 2 provide a general background, explaining what inverse problems are and what constitutes their solution as well as reviewing some of the basic concepts from linear algebra and probability theory that will be applied throughout the text. Chapters 3-7 discuss the solution of the canonical inverse problem: the linear problem with Gaussian statistics. This is the best understood of all inverse problems; and it is here that the fundamental notions of uncertainty, uniqueness, and resolution can be most clearly developed. Chapters 8-11 extend the discussion to problems that are non-Gaussian, nonlinear and continuous. Chapters 12-13 provide examples of the use of inverse theory and a discussion of the steps that must be taken to solve inverse problems on a computer'-- _cProvided by publisher.
650		0	_aGeophysics _xMeasurement.
650		0	_aOceanography _xMeasurement.
650		0	_aInverse problems (Differential equations) _xNumerical solutions.
907			_a.b15406520 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQC802.A1M46 2012
914			_avtls003505586
990			_aza
991			_aFakulti Sains Sosial dan Kemanusiaan
998			_at _b2012-07-06 _cm _da _feng _gmau _y0 _z.b15406520
999			_c524131 _d524131