An efficient projection method for nonlinear inverse problems with sparsity constraints
@article{Han2016AnEP, title={An efficient projection method for nonlinear inverse problems with sparsity constraints}, author={D. Han and Zehui Jia and Y. Song and D. Z. Wang}, journal={Inverse Problems and Imaging}, year={2016}, volume={10}, pages={689-709} }
In this paper, we propose a modification of the accelerated projective steepest descent method for
solving nonlinear inverse problems with an $\ell_1$ constraint on the variable, which was recently proposed by Teschke and
Borries (2010 Inverse Problems 26 025007).
In their method, there are some parameters need to be estimated, which is a difficult task for many applications.
We overcome this difficulty by introducing a self-adaptive strategy in choosing the parameters.
Theoretically, the… Expand
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References
SHOWING 1-10 OF 25 REFERENCES
Accelerated projected steepest descent method for nonlinear inverse problems with sparsity constraints
- Mathematics
- 2010
- 97
- PDF
Accelerated Projected Gradient Method for Linear Inverse Problems with Sparsity Constraints
- Mathematics
- 2008
- 271
- PDF
Domain decomposition methods for linear inverse problems with sparsity constraints
- Mathematics
- 2007
- 59
- PDF
Global convergence of an inexact operatorsplitting method for monotone variational inequalities
- Mathematics
- 2011
- 4
An Iterative Thresholding Algorithm for Linear Inverse Problems with a Sparsity Constraint
- Mathematics
- 2003
- 3,952
- PDF
A Tikhonov-based projection iteration for nonlinear Ill-posed problems with sparsity constraints
- Mathematics, Computer Science
- Numerische Mathematik
- 2006
- 116
- PDF
A self-adaptive projection method for solving the multiple-sets split feasibility problem
- Mathematics
- 2009
- 55
A generalized conditional gradient method and its connection to an iterative shrinkage method
- Mathematics, Computer Science
- Comput. Optim. Appl.
- 2009
- 104