SparseIR
Documentation for SparseIR.
SparseIR.FiniteTempBasisSparseIR.FiniteTempBasisSparseIR.FiniteTempBasisSparseIR.KernelBaseSparseIR.MatsubaraSamplingSparseIR.PiecewiseLegendreFTSparseIR.SamplingSparseIR.SparsePoleRepresentationSparseIR.TauSamplingSparseIR.finite_temp_basesSparseIR.from_IRSparseIR.overlapSparseIR.to_IR
SparseIR.FiniteTempBasis — TypeFiniteTempBasis
SparseIR.FiniteTempBasis — TypeCreate a FiniteTempBasis object by decomposing a given kernel
SparseIR.FiniteTempBasis — MethodCreate a FiniteTempBasis object using LogisticKernel
SparseIR.KernelBase — TypeKernel
SparseIR.MatsubaraSampling — TypeSampling in Matsubara frequency
SparseIR.PiecewiseLegendreFT — TypePiecewiseLegendreFT
SparseIR.Sampling — TypeSampling
SparseIR.SparsePoleRepresentation — TypeSparse pole representation
SparseIR.TauSampling — TypeSampling in time
SparseIR.finite_temp_bases — MethodConstruct FiniteTempBasis objects for fermion and bosons using the same LogisticKernel instance.
SparseIR.from_IR — MethodFrom IR to SPR
gl: Expansion coefficients in IR
SparseIR.overlap — Functionf: Function-like object f should takes a real-valued vector and return a real-valued D-dimensional arrays. axis option specifies which axis of this array correponds to the axis of the input.
axis: By default, the last axis is used for computing overlap.
SparseIR.to_IR — MethodFrom SPR to IR
g_spr: Expansion coefficients in SPR