Python Sparse data Analysis Package external MRI plugin.

Different cost functions for the optimization.

class mri.optimizers.utils.cost.DualGapCost(linear_op, initial_cost=1000000.0, tolerance=0.0001, cost_interval=None, test_range=4, verbose=False, plot_output=None)[source]¶

Define the dual-gap cost function.

class mri.optimizers.utils.cost.GenericCost(gradient_op, prox_op, initial_cost=1000000.0, tolerance=0.0001, cost_interval=None, test_range=4, optimizer_type='forward_backward', verbose=False, plot_output=None)[source]¶

Define the Generic cost function, based on the cost function of the gradient operator and the cost function of the proximity operator.