Geophysical Data Analysis Discrete Inverse Theory
Download Geophysical Data Analysis Discrete Inverse Theory full books in PDF, epub, and Kindle. Read online free Geophysical Data Analysis Discrete Inverse Theory ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : William Menke |
| Publisher | : Academic Press |
| Total Pages | : 273 |
| Release | : 2012-12-02 |
| Genre | : Science |
| ISBN | : 0323141285 |
Geophysical Data Analysis: Discrete Inverse Theory is an introductory text focusing on discrete inverse theory that is concerned with parameters that either are truly discrete or can be adequately approximated as discrete. Organized into 12 chapters, the book's opening chapters provide a general background of inverse problems and their corresponding solution, as well as some of the basic concepts from probability theory that are applied throughout the text. Chapters 3-7 discuss the solution of the canonical inverse problem, that is, the linear problem with Gaussian statistics, and discussions on problems that are non-Gaussian and nonlinear are covered in Chapters 8 and 9. Chapters 10-12 present examples of the use of inverse theory and a discussion on the numerical algorithms that must be employed to solve inverse problems on a computer. This book is of value to graduate students and many college seniors in the applied sciences.
| Author | : William Menke |
| Publisher | : Elsevier |
| Total Pages | : 303 |
| Release | : 1989-10-04 |
| Genre | : Science |
| ISBN | : 0080507328 |
Please use extracts from reviews of first editionKey Features* Updated and thoroughly revised edition* additional material on geophysical/acoustic tomography* Detailed discussion of application of inverse theory to tectonic, gravitational and geomagnetic studies
| Author | : David Gubbins |
| Publisher | : Cambridge University Press |
| Total Pages | : 274 |
| Release | : 2004-03-18 |
| Genre | : Science |
| ISBN | : 1316582930 |
This unique textbook provides the foundation for understanding and applying techniques commonly used in geophysics to process and interpret modern digital data. The geophysicist's toolkit contains a range of techniques which may be divided into two main groups: processing, which concerns time series analysis and is used to separate the signal of interest from background noise; and inversion, which involves generating some map or physical model from the data. These two groups of techniques are normally taught separately, but are here presented together as parts I and II of the book. Part III describes some real applications and includes case studies in seismology, geomagnetism, and gravity. This textbook gives students and practitioners the theoretical background and practical experience, through case studies, computer examples and exercises, to understand and apply new processing methods to modern geophysical datasets. Solutions to the exercises are available on a website at http://publishing.cambridge.org/resources/0521819652
| Author | : Carl Wunsch |
| Publisher | : Cambridge University Press |
| Total Pages | : 357 |
| Release | : 2006-06-29 |
| Genre | : Science |
| ISBN | : 1139456938 |
Addressing the problems of making inferences from noisy observations and imperfect theories, this 2006 book introduces many inference tools and practical applications. Starting with fundamental algebraic and statistical ideas, it is ideal for graduate students and researchers in oceanography, climate science, and geophysical fluid dynamics.
| Author | : Max A. Meju |
| Publisher | : SEG Books |
| Total Pages | : 305 |
| Release | : 1994 |
| Genre | : Geophysics |
| ISBN | : 156080257X |
This publication is designed to provide a practical understanding of methods of parameter estimation and uncertainty analysis. The practical problems covered range from simple processing of time- and space-series data to inversion of potential field, seismic, electrical, and electromagnetic data. The various formulations are reconciled with field data in the numerous examples provided in the book; well-documented computer programmes are also given to show how easy it is to implement inversion algorithms.
| Author | : Richard C. Aster |
| Publisher | : Elsevier |
| Total Pages | : 406 |
| Release | : 2018-10-16 |
| Genre | : Science |
| ISBN | : 0128134232 |
Parameter Estimation and Inverse Problems, Third Edition, is structured around a course at New Mexico Tech and is designed to be accessible to typical graduate students in the physical sciences who do not have an extensive mathematical background. The book is complemented by a companion website that includes MATLAB codes that correspond to examples that are illustrated with simple, easy to follow problems that illuminate the details of particular numerical methods. Updates to the new edition include more discussions of Laplacian smoothing, an expansion of basis function exercises, the addition of stochastic descent, an improved presentation of Fourier methods and exercises, and more. - Features examples that are illustrated with simple, easy to follow problems that illuminate the details of a particular numerical method - Includes an online instructor's guide that helps professors teach and customize exercises and select homework problems - Covers updated information on adjoint methods that are presented in an accessible manner
| Author | : William Menke |
| Publisher | : Academic Press |
| Total Pages | : 331 |
| Release | : 2012-06-26 |
| Genre | : Science |
| ISBN | : 0123977843 |
Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics. The new edition maintains the accessible and succinct manner for which it is known, with the addition of: - MATLAB examples and problem sets - Advanced color graphics - Coverage of new topics, including Adjoint Methods; Inversion by Steepest Descent, Monte Carlo and Simulated Annealing methods; and Bootstrap algorithm for determining empirical confidence intervals - Additional material on probability, including Bayesian influence, probability density function, and metropolis algorithm - Detailed discussion of application of inverse theory to tectonic, gravitational and geomagnetic studies - Numerous examples and end-of-chapter homework problems help you explore and further understand the ideas presented - Use as classroom text facilitated by a complete set of exemplary lectures in Microsoft PowerPoint format and homework problem solutions for instructors
| Author | : Mrinal K. Sen |
| Publisher | : Cambridge University Press |
| Total Pages | : 303 |
| Release | : 2013-02-21 |
| Genre | : Mathematics |
| ISBN | : 1107011906 |
An up-to-date overview of global optimization methods used to formulate and interpret geophysical observations, for researchers, graduate students and professionals.
| Author | : J. Bee Bednar |
| Publisher | : SIAM |
| Total Pages | : 472 |
| Release | : 1992-01-01 |
| Genre | : Science |
| ISBN | : 9780898712735 |
This collection of papers on geophysical inversion contains research and survey articles on where the field has been and where it's going, and what is practical and what is not. Topics covered include seismic tomography, migration and inverse scattering.
| Author | : Curtis R. Vogel |
| Publisher | : SIAM |
| Total Pages | : 195 |
| Release | : 2002-01-01 |
| Genre | : Mathematics |
| ISBN | : 0898717574 |
Provides a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems.
