Ttclass/ttort.m

Performs TT-orthogonalisation for a tensor train (or for each tensor train in a buffered sum).

Syntax

    [tt,lognrm]=ttort(tt,direct)

Parameters

    direct=+1 - {default} gives you left-to-right orthogonality,
                direct=-1 - gives right-to-left orthogonality

    tt        - tensor train object, possibly with buffered sums

Outputs

    tt     - tensor train object with all terms in the buffe-
             red sum has all of them orthogonalised in the
             direction requested

    lognrm - if this output is present, all buffered trains
             are also normalized, and natural logs of their
             norms returned in the vector lognrm. Use this
             option if the tensor norm is likely to exceed
             realmax()=1.7977e+308.

Notes

normally you should not call this subroutine directly.

See also

ttclass.m, ttclass/amensolve.m, ttclass/amensum.m, ttclass/clearcoeff.m, ttclass/conj.m, ttclass/ctranspose.m, ttclass/diag.m, ttclass/dot.m, ttclass/full.m, ttclass/hdot.m, ttclass/ismatrix.m, ttclass/isnumeric.m, ttclass/isreal.m, ttclass/kron.m, ttclass/mean.m, ttclass/minus.m, ttclass/mldivide.m, ttclass/mrdivide.m, ttclass/mtimes.m, ttclass/nnz.m, ttclass/norm.m, ttclass/numel.m, ttclass/pack.m, ttclass/plus.m, ttclass/rand.m, ttclass/ranks.m, ttclass/rdivide.m, ttclass/revert.m, ttclass/shrink.m, ttclass/size.m, ttclass/sizes.m, ttclass/subsref.m, ttclass/sum.m, ttclass/trace.m, ttclass/transpose.m, ttclass/truncate.m, ttclass/unit_like.m, ttclass/vec.m, Tensor_train_module

Version 2.1, authors: Ilya Kuprov, Dmitry Savostyanov