Reference

(specdens::AAAfittedSD)(ω::Float64; scale::Float64=1.0) -> Float64

Compute the spectral density for the Brownian oscillator model.

(specdens::BrownianSD)(ω::Float64; scale::Float64=1.0) -> Float64

Compute the spectral density for the Brownian oscillator model.

(specdens::DrudeSD)(ω::Float64; scale::Float64=1.0) -> Float64

Compute the spectral density for the Drude model.

(specdens::PowerLawExpSD)(ω::Float64; scale::Float64=1.0) -> Float64

Compute the spectral density for the Power-law with exponential cutoff model.

(specdens::TannorMeyerSD)(ω::Float64; scale::Float64=1.0) -> Float64

Compute the spectral density for the Tannor-Meyer model.

bsdo(sbeta, ω::AbstractVector{Float64}, M_sp::Int)

Compute the discretization of the QNSD using the BSDO method.

Calculate the error between the approximated and exact correlation functions.

id_freq_rank(f::AbstractMatrix{ComplexF64}, frank::Int, rnd::Bool)

Perform interpolative decomposition on matrix f with a specified rank frank.

id_freq_eps(f::AbstractMatrix{Float64}, eps::Real, rnd::Bool)

Perform interpolative decomposition on matrix f with error tolerance eps.

id_freq_rank(f::AbstractMatrix{Float64}, frank::Int, rnd::Bool)

Perform interpolative decomposition on matrix f with a specified rank frank.

id_freq_eps(f::AbstractMatrix{Float64}, eps::Real, rnd::Bool)

Perform interpolative decomposition on matrix f with error tolerance eps.

id_time(f::AbstractMatrix{ComplexF64}, frank::Int, rnd::Bool)

Perform interpolative decomposition on matrix f with a specified rank frank.

nnls_weight(t, B)

Estimate the coefficients (amplitudes) by solving a nonnegative least‐squares (NNLS) problem.

orthpoly_discretization(wj, N)

Compute the discretization of orthogonal polynomials.