Struct TensorTrain 

pub struct TensorTrain {
    pub cores: Vec<TTCore>,
    pub shape: Vec<usize>,
    pub ranks: Vec<usize>,
}

Tensor Train representation

Fields

cores: Vec<TTCore>

TT-cores

shape: Vec<usize>

Original tensor shape

ranks: Vec<usize>

TT-ranks: [1, r1, r2, …, r_{d-1}, 1]

Implementations

impl TensorTrain

pub fn from_cores(cores: Vec<TTCore>) -> Self

Create TT from cores

pub fn from_vectors(vectors: Vec<Vec<f64>>) -> Self

Create rank-1 TT from vectors

pub fn order(&self) -> usize

Tensor order

pub fn max_rank(&self) -> usize

Maximum TT-rank

pub fn storage(&self) -> usize

Total storage

pub fn eval(&self, indices: &[usize]) -> f64

Evaluate TT at a multi-index

pub fn to_dense(&self) -> DenseTensor

Convert to dense tensor

pub fn dot(&self, other: &TensorTrain) -> f64

Dot product of two TTs

pub fn frobenius_norm(&self) -> f64

Frobenius norm: ||A||_F = sqrt(<A, A>)

pub fn add(&self, other: &TensorTrain) -> TensorTrain

Add two TTs (result has rank r1 + r2)

pub fn scale(&self, alpha: f64) -> TensorTrain

Scale by a constant

pub fn from_dense(tensor: &DenseTensor, config: &TensorTrainConfig) -> Self

TT-SVD decomposition from dense tensor

Trait Implementations

impl Clone for TensorTrain

fn clone(&self) -> TensorTrain

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for TensorTrain

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.