estimator.gb.AroraGB.cost_Gaussian_like#

classmethod AroraGB.cost_Gaussian_like(params, success_probability=0.99, omega=2, log_level=1, **kwds)[source]#

Estimate cost using absolute bounds for secrets and Gaussian tail bounds for noise.

Parameters:
  • params – LWE parameters.

  • success_probability – target success probability

  • omega – linear algebra constant.