A Novel Robust Principal Component Analysis Algorithm of Nonconvex Rank Approximation

Algorithm 1

Solve the alternating direction method of equation (32).

	Input data: initial data ;
	dictionary matrix;
	, thresholds.
	Initialization: ,,.
	Output data:
	Iteration steps:
(1)	Update variables : according to the following formula−
(2)	Update variables : according to the following formula−
(3)	Update variables : according to the following formula−
(4)	Stopping condition:
	Repeat Steps 1–3; otherwise, stop iteration and return to ,.