cr.sparse.block.bsbl.BSBL_State

class cr.sparse.block.bsbl.BSBL_State(mu_x: jax.Array, r: jax.Array, r_norm_sqr: jax.Array, gammas: jax.Array, Sigma0: jax.Array, lambda_val: float, dmu: float, iterations: int)

Sparse Bayesian Learning algorithm state

Attributes

Sigma0	Prior correlation matrices for each block
dmu	Maximum absolute difference between two iterations for means
gammas	Estimated values for gamma for each block
iterations	Number of iterations
lambda_val	Estimated value of the noise variance
mu_x	Mean vectors for each block
r	The residuals
r_norm_sqr	The residual norm squared
x	Solution vector