• Introduction to geophysical inverse theory
• Linear gradient methods (steepest descent, Gauss-Newton, Newton, Conjugate Gradients)
• Nonlinear methods (Monte Carlo, genetic algorithms, simulated annealing)
• Solution appraisal (confidence intervals, resolution, variance)
• Computer applications
• Crash course in Matlab
• Inverse filtering
• Matlab exercises
  Introduction (ppt)
  Least squares (ppt)
  Probability (ppt)
  L1 norm minimization (ppt)
  Truncated SVD, nonlinear regression (ppt)
  Conjugate gradients, etc (ppt)
  Gravity data
  Gravity forward modeling matlab script
  Matlab routine to contour objective function
  random noise, std ~ 0.01
  mc.m
  mc_neigh.m
  mc_simann_consT.m
  mc_simann.m
  go_ga.m
  bit2num.m
  evaleach.m
  evalpopu.m
  nextpopu.m
  peaksfcn.m
  wavefcn.m