• 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
  Treasure hunt (ppt)
  Introduction (ppt)
  Least squares (ppt)
  Probability (ppt)
  L1 norm minimization (ppt)
  Truncated SVD, nonlinear regression (ppt)
  Conjugate gradients, etc (ppt)
  Example 4.2, Aster et al. (.m)
  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
  recfuninv.m
  PSvResponse.m
  ReadSac.m
  RecFun.m
  stack_ALI.sac
  stack_BRD.sac
  stack_GAL.sac
  stack_GAN.sac
  stack_GLB.sac
  stack_GOB.sac
  stack_IML.sac
  stack_LKR.sac
  stack_NAX.sac
  stack_NDR.sac
  stack_PQL.sac
  stack_QUB.sac
  stack_SEK.sac
  stack_SIZ.sac