regmesh = mesh
m0 = (-5.) * np.ones(mapping.nP)
dmis = DataMisfit.l2_DataMisfit(survey)
reg = Regularization.Tikhonov(regmesh) #,mapping = mapping)#,indActive=actind)
reg.mref = m0
opt = Optimization.InexactGaussNewton(maxIter=20, tolX=1e-6)
opt.remember('xc')
invProb = InvProblem.BaseInvProblem(dmis, reg, opt)
beta = Directives.BetaEstimate_ByEig(beta0=10., beta0_ratio=1e0)
reg.alpha_s = 1e-2
#beta = 0.
#invProb.beta = beta
betaSched = Directives.BetaSchedule(coolingFactor=5, coolingRate=2)
#sav0 = Directives.SaveEveryIteration()
#sav1 = Directives.SaveModelEveryIteration()
sav2 = Directives.SaveOutputDictEveryIteration()
inv = Inversion.BaseInversion(invProb, directiveList=[sav2, beta,
betaSched]) #sav0,sav1,
mtest = np.load('../Update_W_each_3it_5s_rademacher/finalresult.npy')
print "check misfit with W: ", dmis.eval(mtest) / survey.nD
mm = meshCore.plotImage(mtest[actind])
plt.colorbar(mm[0])
plt.show()
msimple = inv.run(m0)
mm = mesh.plotImage(msimple)
plt.colorbar(mm[0])
plt.gca().set_xlim([-10., 10.])
plt.gca().set_ylim([-10., 0.])
np.save('./finalresult', msimple)
dim=3,
use_cell_weights=True,
minimum_distance=1e3)
np.random.seed(1)
dmisfit = DataMisfit.l2_DataMisfit(survey)
dmisfit.W = 1. / uncert
opt = Optimization.ProjectedGNCG(maxIter=10, maxIterCG=20)
# opt.upper = m_upper
# opt.lower = m_lower
invProb = InvProblem.BaseInvProblem(dmisfit, reg, opt)
beta = Directives.BetaSchedule(coolingFactor=2, coolingRate=1)
betaest = Directives.BetaEstimate_ByEig(beta0_ratio=1.)
target = Directives.TargetMisfit(chifact=1.)
save_model = Directives.SaveOutputDictEveryIteration(
directory=output_dir.as_posix())
inv = Inversion.BaseInversion(
invProb, directiveList=[beta, betaest, target, save_model])
prob.counter = opt.counter = Utils.Counter()
opt.LSshorten = 0.5
opt.remember('xc')
try:
save_model.outDict = {}
except:
pass
print('Target misfit:', target.target)
## Run it!
mopt = inv.run(m0)
import local_utils
