def scg_fnM(a, x0, cdN, ldN, tdN, maxitnum, constraints, verbose):
return gtcd.tcd(
a, x0=x0, canonical_dict=cdN, lro_dict=ldN, tucker_dict=tdN, maxitnum=maxitnum,
maxInnerIt=_maxInnerIt, tolRes=_tolRes, tolGrad=_tolGrad, tolSwamp=_tolSwamp, method='tr',
verbose=verbose, doSA=0, constraints=constraints, curvature=1, trStep='scg',
trDelta0=1.2, trEta=0.23
)
def lmnM(a, x0, cdN, ldN, tdN, maxitnum, constraints, verbose):
return gtcd.tcd(
a, x0=x0, canonical_dict=cdN, lro_dict=ldN, tucker_dict=tdN, maxitnum=maxitnum,
tolRes=_tolRes, tolGrad=_tolGrad, tolSwamp=_tolSwamp, method='lm', epsilonLM=1e-8,
lmSetup='Nielsen', muInit=1., verbose=verbose, regTGD=None, regPGD=None,
doSA=0, constraints=constraints
)
def alsM(a, x0, cdN, ldN, tdN, constraints):
return tcd(a,
x0=x0,
canonical_dict=cdN,
lro_dict=ldN,
tucker_dict=tdN,
maxitnum=maxitnum,
tolRes=tolRes,
tolGrad=tolGrad,
tolSwamp=tolSwamp,
method='als',
verbose=verbose,
regTGD=None,
regPGD=None,
doSA=0,
constraints=constraints)
def gdrpM(a, x0, cdN, ldN, tdN, constraints):
return tcd(a,
x0=x0,
canonical_dict=cdN,
lro_dict=ldN,
tucker_dict=tdN,
maxitnum=maxitnum,
tolRes=tolRes,
tolGrad=tolGrad,
tolSwamp=tolSwamp,
method='gd',
backtrack=True,
verbose=verbose,
regTGD=None,
regPGD=1e-3,
doSA=0,
constraints=constraints)
def doglegM(a, x0, cdN, ldN, tdN, constraints):
return tcd(a,
x0=x0,
canonical_dict=cdN,
lro_dict=ldN,
tucker_dict=tdN,
maxitnum=maxitnum,
maxInnerIt=maxInnerIt,
tolRes=tolRes,
tolGrad=tolGrad,
tolSwamp=tolSwamp,
method='tr',
verbose=verbose,
doSA=0,
constraints=constraints,
trStep='dogleg',
trDelta0=1.2,
trEta=0.23)
def lmqM(a, x0, cdN, ldN, tdN, constraints):
return tcd(a,
x0=x0,
canonical_dict=cdN,
lro_dict=ldN,
tucker_dict=tdN,
maxitnum=maxitnum,
tolRes=tolRes,
tolGrad=tolGrad,
tolSwamp=tolSwamp,
method='lm',
epsilonLM=1e-8,
lmSetup='Quadratic',
muInit=1.,
verbose=verbose,
regTGD=None,
regPGD=None,
doSA=0,
constraints=constraints)
def gnM(a, x0, cdN, ldN, tdN, maxitnum, constraints, verbose):
return gtcd.tcd(
a, x0=x0, canonical_dict=cdN, lro_dict=ldN, tucker_dict=tdN, maxitnum=maxitnum,
tolRes=_tolRes,tolGrad=_tolGrad, tolSwamp=_tolSwamp, method='gn', backtrack=True,
verbose=verbose, regTGD=None, regPGD=None, doSA=0, constraints=constraints
)
def cgdyM(a, x0, cdN, ldN, tdN, maxitnum, constraints, verbose):
return gtcd.tcd(
a, x0=x0, canonical_dict=cdN, lro_dict=ldN, tucker_dict=tdN, maxitnum=maxitnum,
tolRes=_tolRes, tolGrad=_tolGrad, tolSwamp=_tolSwamp, method='cg', betaCG='dy',
verbose=verbose, regTGD=None, regPGD=None, doSA=0, constraints=constraints
)
