1-norm methods API

Available functions

  • hager_norm1_cond

  • hager_higham_norm1

  • block_higham_tisseur_norm1

  • power_iteration_norm1

  • oettli_prager_norm1

  • monte_carlo_norm1

When to choose each method

  • hager-higham: default high-accuracy production choice.

  • block-higham: block variant for stronger robustness on some matrices.

  • power: fast rough estimate.

  • oettli-prager: adaptive/random/hybrid sampling style strategies.

  • monte-carlo: stochastic baseline.

Example

from sparse_kappa import cond_estimate

result = cond_estimate(
    A,
    norm=1,
    method='hager-higham',
    solver='lu',
    return_dict=True,
)
print(result['condition_number'])