• 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)
  iterative methods (ppt)
  hw5_2.mat
  Example 4.2, Aster et al. (.m)
  Gravity data
  Gravity forward modeling matlab script
  Matlab routine to contour objective function
  random noise, std ~ 1.0e-7
  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_GUI.m
  RecFun.m
  noise_1Hz.dat
  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
  Info from Rumi and Esteban's term project 2009