ind2sub2 | function [sub]=ind2sub2(siz,ind) |
maxvol2 | Maximal volume submatrix in an tall matrix |
move_tt_block | Performs a bubble movement of a block inside a train |
mvrk | Computes matvec in the QTT-Tucker "rake" format |
my_chop2 | Truncation by absolution precision in Frobenius norm |
qtt_tucker_m | Compute the QTT-Tucker representation of TT |
qtttucker_to_linqtt | Compute the standard QTT-representation from the QTT-Tucker |
reort | Golub-Kahan reorthogonalization |
sub_to_ind | Converts a multiindex to a linear index |
ten_conv | Tensor-by-matrix multiplication of three-dimensional tensor |
tt_add | Adds two TT-tensors in TT1 format. |
tt_als | Several ALS sweeps for the approximation in the TT-format |
tt_axpy | Returns A*X+P*Y in the TT-format. |
tt_axpy2 | Returns A*X+P*Y in the TT-format (stabilized version) |
tt_compr2 | Tensor rounding in TT1.0 format |
tt_dist3 | Accurate distance between two tensors in TT1.0 format |
tt_dot | Scalar product of two TT-tensors in the TT1.0 format |
tt_dot2 | Logarithm of the scalar product of two tensor (to avoid overflow) |
tt_effrank | Effective rank of the TT-tensor (correct memory definition) |
tt_erank | Effective rank of the TT-tensor: Approximate memory definition |
tt_eye | Identity matrix in the TT-format |
tt_ind2sub | Correct conversion of an index to a multiindex |
tt_kron7 | Kronecker product of two TT-tensors in the reverse order |
tt_mat_compr | Tensor rounding for the TT-matrix in TT1.0 format |
tt_mat_full_vec | Multiplication of the TT-matrix by full vector in TT1.0 format |
tt_mat_to_vec | Flattens TT-matrix into TT-vector in the TT1.0 format |
tt_max_abs | Compute the (supposedly) maximal in modulus element in a TT-tensor |
tt_maxrank | Maximal rank of the TT-tensor(?) |
tt_mem | Memory required to store the tensor TT |
tt_min_abs | Computes approximation to the minimal absolute value in a TT-tensor |
tt_mkron | Compute Kronecker product of many TT-tensors. |
tt_mm | Matrix-by-matrix product in TT1.0 format |
tt_mv | Matrix-by-vector product in the TT1.0 format |
tt_mvdot | Fast computation of the bilinear form (Ax,y) in the TT-format |
tt_mvk2 | Matrix-by-vector product by DMRG/Krylov method |
tt_mvk3 | Two-sided DMRG fast matrix-by-vector product, the best version |
tt_ones | Tensor of all ones |
tt_qcirc | returns the multilevel circulant matrix tt generated by the multi-dimensional input vector x |
tt_qfromfull | Approximates a full-format s-dimensional 2^{d} x...x 2^{d}-tensor |
tt_qltrtoepl | returns the multilevel lower-triangular Toeplitz matrix tt generated by the multi-dimensional input vector x |
tt_qreshape | Reshapes the cores of the input (Q)TT representation. |
tt_qshiftstack | returns a stack S of non-periodic shift matrices |
tt_qshiftstack_p | returns a stack P of periodic shift matrices |
tt_qshiftstack_q | returns a stack Q of non-periodic shift matrices |
tt_qshiftstack_r | returns a stack R of non-periodic shift matrices |
tt_qsize | For a QTT decomposition _tt_, |
tt_qtoepl | returns the multilevel Toeplitz matrix tt generated by the multi-dimensional input vector x |
tt_qtofull | Returns a tensor _full_, given in a QTT decomposition _tt_, |
tt_qutrtoepl | returns the multilevel upper-triangular Toeplitz matrix tt generated by the multi-dimensional input vector x |
tt_rand | Generates a random tensor |
tt_rand_pos | Random TT-tensor with positive elements |
tt_random | Generates a random tensor |
tt_ranks | Compute all ranks of the TT-decomposition in TT1.0 format |
tt_reshape | Reshape of the TT-tensor |
tt_reverse | Returns a reversed TT representation |
tt_scal | Multiply tensor by a scalar in TT1.0 format |
tt_scal2 | Stabilized multiplication of a scalar by vector |
tt_shf | Upper shift matrix in the QTT-format |
tt_size | Mode dimensions of a TT-tensor in TT1.0 format |
tt_squeeze | Removes singleton dimensions from the TT-tensor |
tt_transp | Transposition of the TT matrix |
tt_tuck | Computes Tucker factors and Tucker core of the TT-tensor |
tt_vec_to_mat | Converts TT-vector to TT-matrix in TT1.0 format |
tt_wround | Approximates a vector in the weighted norm using DMRG iterations |
tt_x | Computes X in the QTT-format |
tt_zeros | Tensor of all zeros |
tucker_to_tt | Build TT-tensor from the QTT-Tucker representation |