cr.sparse.sls.LSQRSolution

class cr.sparse.sls.LSQRSolution(x: jax.Array, A_norm: jax.Array, A_cond: jax.Array, x_norm: jax.Array, r_norm: jax.Array, atr_norm: jax.Array, iterations: int, n_times: int = 0, n_trans: int = 0)

Solution for LSQR algorithm

Attributes

A_cond	Lower estimate on the condition number of A
A_norm	Lower estimate of norm of A
atr_norm	Estimate on the norm of the proxy residual A^H r
iterations	The number of iterations it took to complete
n_times	Number of times A x computed
n_trans	Number of times A.T b computed
r_norm	Estimate on the norm of the residual
x	Solution vector
x_norm	Estimate on the norm of the solution vector x