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Geos 567 | Inverse Methods in Geophysics
Fall 200

Randall M. Richardson

Office: Gould-Simpson Room 525
E-mail: rmr@u.arizona.edu
Phone: 621-4950
Office Hours: Monday & Wednesday 11:00-12:00 Noon
Text: Inverse Problems in Geophysics: A Set of Lecture Notes, by Randall M. Richardson and George Zandt (download below)

This is a one-semester course on the fundamentals on inverse theory. Inverse theory can be loosely defined as the art of inferring as much as possible about a problem using everything that is known about the data and the relationship between the model and the data as expressed by some mathematical forward problem. Emphasis will be on the discrete linear problem, but both nonlinear and continuous inverse problems will be covered.

This course involves substantial homework, a term project, and the expectation of active class participation. The grading is based on the following: 60% Homework, 30% Term Project, and 10% Class Participation.

Homework Sets

Homework Set Title Due Date
Homework Set #1 Library / MATLAB 30 August
  MATLAB PowerPoint Tutorial by Magali Billen, UC Davis  
  Bathymetry Data File  
Homework Set #2 Parameter-Space Searches 11 September
  Noise File for Homework Set #2  
Homework Set #3 Least Squares 20 September
Homework Set #4 Constraints 27 September
Homework Set #5 Covariance and Chi-Square Test 4 October
  Data File for Homework Set #5  
Homework Set #6 Mapping Data Noise to Solution Error 11 October
Homework Set #7 Singular Value Decomposition 18 October
Homework Set #8 Inverse Literature Presentation 25 October
Homework Set #9 Non-Linear Problem 1 November
  Homework #9 MatLab Files: Linear.m, myfunct_Linear.m, Myfunct_NLSL.m, NLSL.m, non_lin_ls.m, partial_Linear.m, partial_NLSL.m  
Homework Set #10 Generalized Inverse 8 November
Homework Set #11 A Nasty Non-Linear Problem 20 November
  Homework #11 MatLab Files: ginv.m, nlerr.m, non_lin_ginv.m  
Homework Set #12 Noisy Data 29 November
Homework Set #13 Weighted Generalized Inverse Analysis Not due
Course Outline and Class Notes

Download the class notes here (pdf format):
Chapter Title Pages and Size
Preface Table of Contents pages i-vi, 127k
Chapter 1 Introduction pages 1-11, 160k
Chapter 2 Review of Linear Algebra and Statistics pages 12-31, 263K
Chapter 3 Inverse Methods Based on Length pages 32-71, 319k
Chapter 4 Linearization of Nonlinear Problems pages 72-90, 228k
Chapter 5 The Eigenvalue Problem pages 91-124, 266k
Chapter 6 Singular-Value Decomposition (SVD) pages 125-151, 230k
Chapter 7 The Generalized Inverse and Measures of Quality pages 125-192, 440k
Chapter 8 Variations of the Generalized Inverse pages 193-237, 518k
Chapter 9 Continuous Inverse Theory and Other Approaches pages 238-264, 290k
All Chapters Complete set of notes as a single file pages i-vi & 1-264, 2.8MB

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