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menke william - geophysical data analysis: discrete inverse theory

Geophysical Data Analysis: Discrete Inverse Theory

MATLAB Edition




Disponibilità: Non disponibile o esaurito presso l'editore

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€ 64,95



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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 06/2012
Edizione: 3° edizione





Note Editore

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




Autore

William Menke is a Professor of Earth and Environmental Sciences at Columbia University, USA. His research focuses on the development of data analysis algorithms for time series analysis and imaging in the earth and environmental sciences and the application of these methods to volcanoes, earthquakes and other natural hazards.




Consigliati dai Librai

Natural Catastrophe Risk Management and Modelling
TERREMOTI
Introduction to Geochemistry




Altre Informazioni

ISBN: 9780123971609
Collana: International Geophysics
Dimensioni: 229 x 152 mm
Formato: Copertina rigida
Illustration Notes:Approx. 125 illustrations (125 in full color)
Pagine Arabe: 330






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