• 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)
    Gravity Anomaly data
    hw5_2.mat
    Example 4.2, Aster et al. (.m)
    Gravity forward modeling matlab script
    Matlab routine to contour objective function
    random noise, std ~ 1.0e-7
    rw.m
    mc.m
    mc_metro.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