Pages that link to "Item:Q2673529"
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The following pages link to Inertial projection and contraction methods for split feasibility problem applied to compressed sensing and image restoration (Q2673529):
Displaying 8 items.
- Convergence of projection and contraction algorithms with outer perturbations and their applications to sparse signals recovery (Q1742528) (← links)
- A self-adaptive projection method with an inertial technique for split feasibility problems in Banach spaces with applications to image restoration problems (Q2000703) (← links)
- Inertial self‐adaptive algorithm for solving split feasible problems with applications to image restoration (Q5214948) (← links)
- Modified relaxed CQ methods for the split feasibility problems in Hilbert spaces with applications (Q6046874) (← links)
- On some novel methods for solving the generalized Fermat-Torricelli problem in Hilbert spaces (Q6085221) (← links)
- Double inertial parameters forward-backward splitting method: Applications to compressed sensing, image processing, and SCAD penalty problems (Q6085639) (← links)
- A novel projection method for split feasibility problems with applications to compressive sensing (Q6159820) (← links)
- On inertial non-Lipschitz stepsize algorithms for split feasibility problems (Q6623470) (← links)