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References in periodicals archive ?
where [lambda] is the Lagrange multiplier. The solution is an image estimate that maximizes Q([lambda]):
where [lambda] > 0 is a Lagrange multiplier. As in Tikhonov regularization, the parameter [lambda] may be viewed as a regularization parameter.
The LRMR algorithms include APG (accelerated proximal gradient) and ALM (augmented Lagrange multipliers) [20]; ALM is divided into two algorithms, EALM (exact augmented Lagrange multipliers) and IALM (inexact augmented Lagrange multipliers), and the three algorithms are described below.
Using the definitions (16), (17), the curvature (13), and the Lagrange multiplier superfields are given, component-wise, as follows:
According to the Lagrange multipliers method, Lagrange function is as follows:
Augmented Lagrange Multiplier (ALM) method has good balance between efficiency and accuracy in solving related RPCA methods.
Thus, the Lagrange multiplier updating process reflects the change in link load over time.
Cante, "On the contact domain method: a comparison of penalty and Lagrange multiplier implementations," Computer Methods in Applied Mechanics and Engineering, vol.
Since only one Lagrange multiplier needs to be updated in each iteration [16], choosing the updated [[alpha].sub.c] is vital.
So, we presented an inexact augmented Lagrange multipliers (IALM) algorithm to solve the RPCA problem [27].