000 02343nam a2200313Ia 4500
003 OSt
005 20251120121021.0
008 220909b |||||||| |||| 00| 0 eng d
020 _a9780123850485
037 _cTextual
040 _aCSL
_beng
_cCSL
041 _aeng
084 _aB2811 Q3;1
_qCSL
100 _a Aster, Richard C.
_eauthor
_9852564
245 0 _aParameter Estimation and Inverse Problems
250 _a2nd
260 _aOxford :
_bAcademic ,
_c2013 .
300 _ax,360p.
500 _aIncluded Bibliography 349-354p.; Index 355-360p.
520 _aParameter Estimation and Inverse Problems, Second Edition provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book takes on these fundamental and challenging problems, introducing students and professionals to the broad range of approaches that lie in the realm of inverse theory. The authors present both the underlying theory and practical algorithms for solving inverse problems. The authors’ treatment is appropriate for geoscience graduate students and advanced undergraduates with a basic working knowledge of calculus, linear algebra, and statistics.Parameter Estimation and Inverse Problems, Second Edition introduces readers to both Classical and Bayesian approaches to linear and nonlinear problems with particular attention paid to computational, mathematical, and statistical issues related to their application to geophysical problems. The textbook includes Appendices covering essential linear algebra, statistics, and notation in the context of the subject. Includes appendices for review of needed concepts in linear, statistics, and vector calculus. Accessible to students and professionals without a highly specialized mathematical background.
650 _aInverse problems.
_9852565
650 _aInversion.
_9852566
650 _aParameter estimation.
_9852567
650 _aStatistics.
_9852568
700 _aBorchers, Brian
_eco-author
_9852569
700 _aThurber, Clifford H
_eco-author
_9852570
942 _hB2811 Q3;1
_cTEXL
_2CC
_n0
999 _c15498
_d15498