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Improve default SVD rrule_alg #79

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Oct 25, 2024
Merged

Improve default SVD rrule_alg #79

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3 changes: 2 additions & 1 deletion src/PEPSKit.jl
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Expand Up @@ -62,6 +62,7 @@ Module containing default values that represent typical algorithm parameters.
- `ctmrg_tol = 1e-12`: Tolerance checking singular value and norm convergence
- `fpgrad_maxiter = 100`: Maximal number of iterations for computing the CTMRG fixed-point gradient
- `fpgrad_tol = 1e-6`: Convergence tolerance for the fixed-point gradient iteration
- `rrule_alg = Arnoldi(; tol=1e1ctmrg_tol, krylovdim=48, verbosity=-1)`: Default cotangent linear problem algorithm
"""
module Defaults
using TensorKit, KrylovKit, OptimKit
Expand All @@ -76,7 +77,7 @@ module Defaults
const trscheme = FixedSpaceTruncation()
const iterscheme = :fixed
const fwd_alg = TensorKit.SVD()
const rrule_alg = GMRES(; tol=1e1ctmrg_tol)
const rrule_alg = Arnoldi(; tol=1e-2fpgrad_tol, krylovdim=48, verbosity=-1)
const svd_alg = SVDAdjoint(; fwd_alg, rrule_alg)
const optimizer = LBFGS(32; maxiter=100, gradtol=1e-4, verbosity=2)
const gradient_linsolver = KrylovKit.BiCGStab(;
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