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ToeplitzMatrices

Fast matrix multiplication and division for Toeplitz matrices in Julia

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ToeplitzMatrices.jl

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Fast matrix multiplication and division for Toeplitz, Hankel and circulant matrices in Julia

Note

Multiplication of large matrices and sqrt, inv, LinearAlgebra.eigvals, LinearAlgebra.ldiv!, and LinearAlgebra.pinv for circulant matrices are computed with FFTs. To be able to use these methods, you have to install and load a package that implements the AbstractFFTs.jl interface such as FFTW.jl:

using FFTW

If you perform multiple calculations with FFTs, it can be more efficient to initialize the required arrays and plan the FFT only once. You can precompute the FFT factorization with LinearAlgebra.factorize and then use the factorization for the FFT-based computations.

Supported matrices

Toeplitz

A Toeplitz matrix has constant diagonals. It can be constructed using

Toeplitz(vc,vr)

where vc are the entries in the first column and vr are the entries in the first row, where vc[1] must equal vr[1]. For example.

Toeplitz(1:3, [1.,4.,5.])

is a sparse representation of the matrix

[ 1.0  4.0  5.0
  2.0  1.0  4.0
  3.0  2.0  1.0 ]

SymmetricToeplitz

A symmetric Toeplitz matrix is a symmetric matrix with constant diagonals. It can be constructed with

SymmetricToeplitz(vc)

where vc are the entries of the first column. For example,

SymmetricToeplitz([1.0, 2.0, 3.0])

is a sparse representation of the matrix

[ 1.0  2.0  3.0
  2.0  1.0  2.0
  3.0  2.0  1.0 ]

TriangularToeplitz

A triangular Toeplitz matrix can be constructed using

TriangularToeplitz(ve,uplo)

where uplo is either :L or :U and ve are the rows or columns, respectively. For example,

TriangularToeplitz([1.,2.,3.],:L)

is a sparse representation of the matrix

[ 1.0  0.0  0.0
  2.0  1.0  0.0
  3.0  2.0  1.0 ]

Hankel

A Hankel matrix has constant anti-diagonals. It can be constructed using

Hankel(vc,vr)

where vc are the entries in the first column and vr are the entries in the last row, where vc[end] must equal vr[1]. For example.

Hankel([1.,2.,3.], 3:5)

is a sparse representation of the matrix

[  1.0  2.0  3.0
   2.0  3.0  4.0
   3.0  4.0  5.0 ]

Circulant

A circulant matrix is a special case of a Toeplitz matrix with periodic end conditions. It can be constructed using

Circulant(vc)

where vc is a vector with the entries for the first column. For example:

Circulant([1.0, 2.0, 3.0])

is a sparse representation of the matrix

[  1.0  3.0  2.0
   2.0  1.0  3.0
   3.0  2.0  1.0 ]

First Commit

09/17/2013

Last Touched

30 days ago

Commits

74 commits