2-norm methods API

Available functions

  • svds_cond

  • eigsh_cond

  • lobpcg_cond

  • power_method_cond

  • lanczos_cond

  • lanczos_unsym_cond

  • golub_kahan_cond

Method guidance

  • svds: highest-accuracy baseline on small/medium matrices.

  • eigsh: symmetric/Hermitian-friendly mode.

  • lanczos / lanczos_unsym: scalable iterative alternatives.

  • golub-kahan: robust option for large sparse systems.

  • power: simplest low-cost estimate.

Example

from sparse_kappa import cond_estimate

cond = cond_estimate(A, norm=2, method='golub-kahan', max_iter=40)
print(cond)