Difference between revisions of "Ttclass/mldivide.m"
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{{DISPLAYTITLE:ttclass/mldivide.m}} __NOTOC__ | {{DISPLAYTITLE:ttclass/mldivide.m}} __NOTOC__ | ||
| − | |||
Solves a linear system with tensor train objects. | Solves a linear system with tensor train objects. | ||
==Syntax== | ==Syntax== | ||
| − | + | x=mldivide(A,y) | |
| − | == | + | ==Parameters== |
| − | + | A - ttclass matrix | |
| + | |||
| + | y - ttclass vector | ||
| − | + | ==Outputs== | |
| − | + | x - ttclass vector | |
| − | + | ==Notes== | |
| + | the AMEn-solve algorithm is applied to symmetrised | ||
| + | system (A'*A)*x=A'*y | ||
| − | + | ==See also== | |
| − | + | [[ttclass.m]], [[ttclass/mrdivide.m]], [[ttclass/mtimes.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/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/ttort.m]], [[ttclass/unit_like.m]], [[ttclass/vec.m]], [[Tensor_train_module]] | |
| − | + | ''Version 2.1, authors: [[Dmitry Savostyanov]]'' | |
Latest revision as of 19:42, 6 June 2026
Solves a linear system with tensor train objects.
Syntax
x=mldivide(A,y)
Parameters
A - ttclass matrix
y - ttclass vector
Outputs
x - ttclass vector
Notes
the AMEn-solve algorithm is applied to symmetrised
system (A'*A)*x=A'*y
See also
ttclass.m, ttclass/mrdivide.m, ttclass/mtimes.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/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/ttort.m, ttclass/unit_like.m, ttclass/vec.m, Tensor_train_module
Version 2.1, authors: Dmitry Savostyanov
