Golub-Kahan-Lanczos (SVDL)

svdl(A) -> Σ, L, [history]

Compute some singular values (and optionally vectors) using Golub-Kahan-Lanczos bidiagonalization [Golub1965] with thick restarting [Wu2000].

If log is set to true is given, method will output a tuple X, L, ch. Where ch is a ConvergenceHistory object. Otherwise it will only return X, L.

Arguments

• A : The matrix or matrix-like object whose singular values are desired.

Keywords

• nsv::Int = 6: number of singular values requested;

• v0 = random unit vector: starting guess vector in the domain of A. The length of q should be the number of columns in A;

• k::Int = 2nsv: maximum number of Lanczos vectors to compute before restarting;

• j::Int = nsv: number of vectors to keep at the end of the restart. We don't recommend j < nsv;

• maxiter::Int = minimum(size(A)): maximum number of iterations to run;

• verbose::Bool = false: print information at each iteration;

• tol::Real = √eps(): maximum absolute error in each desired singular value;

• reltol::Real=√eps(): maximum error in each desired singular value relative to the estimated norm of the input matrix;

• method::Symbol=:ritz: restarting algorithm to use. Valid choices are:

  1. :ritz: Thick restart with Ritz values [Wu2000].

  2. :harmonic: Restart with harmonic Ritz values [Baglama2005].

• vecs::Symbol = :none: singular vectors to return.

  1. :both: Both left and right singular vectors are returned.

  2. :left: Only the left singular vectors are returned.

  3. :right: Only the right singular vectors are returned.

  4. :none: No singular vectors are returned.

• dolock::Bool=false: If true, locks converged Ritz values, removing them from the Krylov subspace being searched in the next macroiteration;

• log::Bool = false: output an extra element of type ConvergenceHistory containing extra information of the method execution.

Return values

if log is false

• Σ: list of the desired singular values if vecs == :none (the default), otherwise returns an SVD object with the desired singular vectors filled in;

• L: computed partial factorizations of A.

if log is true

• Σ: list of the desired singular values if vecs == :none (the default),

otherwise returns an SVD object with the desired singular vectors filled in;

• L: computed partial factorizations of A;

• history: convergence history.

ConvergenceHistory keys

• :betas => betas: The history of the computed betas.

• :Bs => Bs: The history of the computed projected matrices.

• :ritz => ritzvalhist: Ritz values computed at each iteration.

• :conv => convhist: Convergence data.