On the constrained minimization of smooth Kurdyka—Łojasiewicz functions with the scaled gradient projection method
Author:
Publisher
IOP Publishing
Subject
General Physics and Astronomy
Link
http://stacks.iop.org/1742-6596/756/i=1/a=012001/pdf
Reference20 articles.
1. Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality
2. Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods
3. Two-Point Step Size Gradient Methods
4. A scaled gradient projection method for constrained image deblurring
5. Nonnegative image reconstruction from sparse Fourier data: a new deconvolution algorithm
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2. Modern regularization methods for inverse problems;Acta Numerica;2018-05-01
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