Geophysical Data Analysis

- Discrete Inverse Theory

  • Format
  • Bog, paperback
  • Engelsk

Beskrivelse

Geophysical Data Analysis: Diverse Inverse Theory, Fourth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. It demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special attention to those methods that generate images of the earth. Data analysis can be a mathematically complex activity, but the treatment in this volume is carefully designed to emphasize those mathematical techniques that readers will find the most familiar and to systematically introduce less-familiar ones. Using problems and case studies, along with MATLAB computer code and summaries of methods, the book provides data scientists and engineers in geophysics with the tools necessary to understand and apply mathematical techniques and inverse theory.

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Detaljer
  • SprogEngelsk
  • Sidetal352
  • Udgivelsesdato12-04-2018
  • ISBN139780128135556
  • Forlag Academic Press Inc
  • FormatPaperback
Størrelse og vægt
  • Vægt700 g
  • coffee cup img
    10 cm
    book img
    19,1 cm
    23,5 cm

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    Pdf Mode Migration Theory Tomography Track Estimates Monte Carlo method Confidence intervals Linear programming Bayes Theorem Deconvolution Electromagnetic induction Data Implicit Generalized inverse Mixture Sparse matrix Total variation Data assimilation Linear Perturbation theory Error propagation Newton's method Fermat's principle Bootstrap Linear operator Singular value decomposition Information gain Eigenfrequency Kuhn-Tucker Theorem Convolution Null solution Random variable Median Gravitational Field Magnetic field Norm Vector space Differential equation Variance F-Test Waveform Covariance matrix Relative entropy Simulated annealing Realization Inverse problem Nonlinear Model Resolution Adjoint Prediction Error Adjoint methods Reflection coefficient Toeplitz matrix Covariance Cross-correlation Maximum likelihood method Outlier Mean Explicit Impedance Sample matrix Grid-Search Bounds Armijo's rule Backus-Gilbert generalized inverse Backus-Gilbert spread function Biconjugate gradient Autocorrelation Banana-doughnut kernel checkerboard test Deblur data importance Data space Empirical orthogonal functions Dirichlet spread function Chi-squared p.d.f. Damped least squares Data kernel Double-difference method Earthquake location gradient method Confidence Limits Functions of Random Variables Fisher distribution Gaussian (Normal) p.d.f. data resolution matrix Double-couple Earthquake moment tensor End member Inequality constraint error function Inexact theory Instrument response Exponential distribution Equality constraint Factor Matrix L∞ norm Natural generalized inverse Free oscillation Linearizing transformation Localized averages Model parameter Forward Problem Maximum likelihood point Model resolution matrix Null vector Model Space Geiger's method operator Hypocenter Null Space Householder rotation Q-mode Reweighting Precision parameter Principle of least squares Size function R-mode Loading matrix Localized average Squeezing algorithm Travel Time L1 norm TV Method Transformation Matrix Varimax rotation Magnetotelluric (MT) method Natural solution weighted least squares nonuniqueness Lagrange multiplier Maximum relative entropy (MRE) method Model error Nonnegative least squares Prior information Probability Density Function trade-off curve Surface wave unit covariance matrix

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