Pages that link to "Item:Q2085035"

The following pages link to New proximal type algorithms for convex minimization and its application to image deblurring (Q2085035):

Displaying 7 items.

• Mathematical programming for the sum of two convex functions with applications to lasso problem, split feasibility problems, and image deblurring problem (Q288028) (← links)
• A modified Newton projection method for \(\ell _1\)-regularized least squares image deblurring (Q2353428) (← links)
• Fixed point algorithm based on adapted metric method for convex minimization problem with application to image deblurring (Q2374376) (← links)
• New inertial forward-backward algorithm for convex minimization with applications (Q2685895) (← links)
• Iiduka type algorithms for minimization problems in finite dimensional Hilbert spaces with applications in the image deblurring problem (Q2836035) (← links)
• A hybrid HS-LS conjugate gradient algorithm for unconstrained optimization with applications in motion control and image recovery (Q6175200) (← links)
• Inertial self-adaptive algorithms for solving non-smooth convex optimization problems (Q6660852) (← links)