class sigpy.alg.ConjugateGradient(A, b, x, P=None, max_iter=100, tol=0)[source]

Conjugate gradient method.

Solves for:

\[A x = b\]

where A is a Hermitian linear operator.

  • A (Linop or function) – Linop or function to compute A.
  • b (array) – Observation.
  • x (array) – Variable.
  • P (function or None) – Preconditioner.
  • max_iter (int) – Maximum number of iterations.
  • tol (float) – Tolerance for stopping condition.
__init__(A, b, x, P=None, max_iter=100, tol=0)[source]

Initialize self. See help(type(self)) for accurate signature.


__init__(A, b, x[, P, max_iter, tol]) Initialize self.
done() Return whether the algorithm is done.
update() Perform one update step.