コード例 #1
0
def adjointTest(fdemType, comp):
    prb = getFDEMProblem(fdemType, comp, SrcList, freq)
    # prb.solverOpts = dict(check_accuracy=True)
    print('Adjoint {0!s} formulation - {1!s}'.format(fdemType, comp))

    m  = np.log(np.ones(prb.sigmaMap.nP)*CONDUCTIVITY)
    mu = np.ones(prb.mesh.nC)*MU

    if addrandoms is True:
        m  = m + np.random.randn(prb.sigmaMap.nP)*np.log(CONDUCTIVITY)*1e-1
        mu = mu + np.random.randn(prb.mesh.nC)*MU*1e-1

    survey = prb.survey
    # prb.PropMap.PropModel.mu = mu
    # prb.PropMap.PropModel.mui = 1./mu
    u = prb.fields(m)

    v = np.random.rand(survey.nD)
    w = np.random.rand(prb.mesh.nC)

    vJw = v.dot(prb.Jvec(m, w, u))
    wJtv = w.dot(prb.Jtvec(m, v, u))
    tol = np.max([TOL*(10**int(np.log10(np.abs(vJw)))),FLR])
    print(vJw, wJtv, vJw - wJtv, tol, np.abs(vJw - wJtv) < tol)
    return np.abs(vJw - wJtv) < tol
コード例 #2
0
ファイル: test_FDEM_forward.py プロジェクト: LongyanU/simpeg
def crossCheckTest(fdemType, comp):

    l2norm = lambda r: np.sqrt(r.dot(r))

    prb1 = getFDEMProblem(fdemType, comp, SrcList, freq, verbose)
    mesh = prb1.mesh
    print "Cross Checking Forward: %s formulation - %s" % (fdemType, comp)
    m = np.log(np.ones(mesh.nC) * CONDUCTIVITY)
    mu = np.log(np.ones(mesh.nC) * MU)

    if addrandoms is True:
        m = m + np.random.randn(mesh.nC) * np.log(CONDUCTIVITY) * 1e-1
        mu = mu + np.random.randn(mesh.nC) * MU * 1e-1

    # prb1.PropMap.PropModel.mu = mu
    # prb1.PropMap.PropModel.mui = 1./mu
    survey1 = prb1.survey
    d1 = survey1.dpred(m)

    if verbose:
        print "  Problem 1 solved"

    if fdemType == "e":
        prb2 = getFDEMProblem("b", comp, SrcList, freq, verbose)
    elif fdemType == "b":
        prb2 = getFDEMProblem("e", comp, SrcList, freq, verbose)
    elif fdemType == "j":
        prb2 = getFDEMProblem("h", comp, SrcList, freq, verbose)
    elif fdemType == "h":
        prb2 = getFDEMProblem("j", comp, SrcList, freq, verbose)
    else:
        raise NotImplementedError()

    # prb2.mu = mu
    survey2 = prb2.survey
    d2 = survey2.dpred(m)

    if verbose:
        print "  Problem 2 solved"

    r = d2 - d1
    l2r = l2norm(r)

    tol = np.max([TOL * (10 ** int(np.log10(l2norm(d1)))), FLR])
    print l2norm(d1), l2norm(d2), l2r, tol, l2r < tol
    return l2r < tol
コード例 #3
0
ファイル: test_FDEM_derivs.py プロジェクト: dakentod/simpeg
def derivTest(fdemType, comp):

    prb = getFDEMProblem(fdemType, comp, SrcType, freq)
    print '%s formulation - %s' % (fdemType, comp)
    x0 = np.log(np.ones(prb.mapping.nP)*CONDUCTIVITY)
    mu = np.log(np.ones(prb.mesh.nC)*MU)

    if addrandoms is True:
        x0 = x0 + np.random.randn(prb.mapping.nP)*np.log(CONDUCTIVITY)*1e-1
        mu = mu + np.random.randn(prb.mapping.nP)*MU*1e-1

    survey = prb.survey
    def fun(x):
        return survey.dpred(x), lambda x: prb.Jvec(x0, x)
    return Tests.checkDerivative(fun, x0, num=2, plotIt=False, eps=FLR)
コード例 #4
0
ファイル: test_FDEM_derivs.py プロジェクト: zyex1108/simpeg
def derivTest(fdemType, comp):

    prb = getFDEMProblem(fdemType, comp, SrcType, freq)
    print '{0!s} formulation - {1!s}'.format(fdemType, comp)
    x0 = np.log(np.ones(prb.mapping.nP) * CONDUCTIVITY)
    mu = np.log(np.ones(prb.mesh.nC) * MU)

    if addrandoms is True:
        x0 = x0 + np.random.randn(prb.mapping.nP) * np.log(CONDUCTIVITY) * 1e-1
        mu = mu + np.random.randn(prb.mapping.nP) * MU * 1e-1

    survey = prb.survey

    def fun(x):
        return survey.dpred(x), lambda x: prb.Jvec(x0, x)

    return Tests.checkDerivative(fun, x0, num=2, plotIt=False, eps=FLR)
コード例 #5
0
ファイル: test_FDEM_derivs.py プロジェクト: jsc1129/simpeg
def derivTest(fdemType, comp):

    prb = getFDEMProblem(fdemType, comp, SrcType, freq)
    # prb.solverOpts = dict(check_accuracy=True)

    print('{0!s} formulation - {1!s}'.format(fdemType, comp))
    x0 = np.log(np.ones(prb.sigmaMap.nP)*CONDUCTIVITY)
    # mu = np.log(np.ones(prb.mesh.nC)*MU)

    if addrandoms is True:
        x0 = x0 + np.random.randn(prb.sigmaMap.nP)*np.log(CONDUCTIVITY)*1e-1
        # mu = mu + np.random.randn(prb.sigmaMap.nP)*MU*1e-1

    survey = prb.survey

    def fun(x):
        return survey.dpred(x), lambda x: prb.Jvec(x0, x)
    return Tests.checkDerivative(fun, x0, num=2, plotIt=False, eps=FLR)
コード例 #6
0
def adjointTest(fdemType, comp):
    prb = getFDEMProblem(fdemType, comp, SrcList, freq)
    print 'Adjoint %s formulation - %s' % (fdemType, comp)

    m = np.log(np.ones(prb.mapping.nP) * CONDUCTIVITY)
    mu = np.ones(prb.mesh.nC) * MU

    if addrandoms is True:
        m = m + np.random.randn(prb.mapping.nP) * np.log(CONDUCTIVITY) * 1e-1
        mu = mu + np.random.randn(prb.mesh.nC) * MU * 1e-1

    survey = prb.survey
    u = prb.fields(m)

    v = np.random.rand(survey.nD)
    w = np.random.rand(prb.mesh.nC)

    vJw = v.dot(prb.Jvec(m, w, u))
    wJtv = w.dot(prb.Jtvec(m, v, u))
    tol = np.max([TOL * (10**int(np.log10(np.abs(vJw)))), FLR])
    print vJw, wJtv, vJw - wJtv, tol, np.abs(vJw - wJtv) < tol
    return np.abs(vJw - wJtv) < tol
コード例 #7
0
def adjointTest(fdemType, comp):
    prb = getFDEMProblem(fdemType, comp, SrcList, freq)
    print 'Adjoint %s formulation - %s' % (fdemType, comp)

    m  = np.log(np.ones(prb.mapping.nP)*CONDUCTIVITY)
    mu = np.ones(prb.mesh.nC)*MU

    if addrandoms is True:
        m  = m + np.random.randn(prb.mapping.nP)*np.log(CONDUCTIVITY)*1e-1
        mu = mu + np.random.randn(prb.mesh.nC)*MU*1e-1

    survey = prb.survey
    # prb.PropMap.PropModel.mu = mu
    # prb.PropMap.PropModel.mui = 1./mu
    u = prb.fields(m)

    v = np.random.rand(survey.nD)
    w = np.random.rand(prb.mesh.nC)

    vJw = v.dot(prb.Jvec(m, w, u))
    wJtv = w.dot(prb.Jtvec(m, v, u))
    tol = np.max([TOL*(10**int(np.log10(np.abs(vJw)))),FLR])
    print vJw, wJtv, vJw - wJtv, tol, np.abs(vJw - wJtv) < tol
    return np.abs(vJw - wJtv) < tol