PolynomialQTT

Julia implementation of multiscale polynomial interpolation for quantics/quantized tensor trains (QTTs).

Installation

julia
] 
add https://github.com/tensor4all/PolynomialQTT.jl

Algorithm

This package implements the multiscale interpolative construction of quantized tensor trains as described in:

Multiscale interpolative construction of quantized tensor trains by Michael Lindsey

Features

• Single-scale and multi-scale interpolative construction
• 1D to multi dimensions

Example

import TensorCrossInterpolation as TCI
import PolynomialQTT

# Single-scale interpolation
f(x) = exp(-x^2)
tt = PolynomialQTT.interpolatesinglescale(f, -2.0, 2.0, 8, 20) # TensorCrossInterpolation.TensorTrain{Float64, 3}

# Multi-scale interpolation with singularity
g(x) = x == 0.0 ? 0.0 : 1/x
tt_multiscale = PolynomialQTT.interpolatemultiscale(g, 0.0, 1.0, 12, 25, [0.0])