A modified inertial projected forward-backward algorithm for convex optimization problems
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Publication:6671851
DOI10.1007/S12215-024-01134-ZMaRDI QIDQ6671851
Prasit Cholamjiak, Kunrada Kankam, Papatsara Inkrong
Publication date: 27 January 2025
Published in: Rendiconti del Circolo Matematico di Palermo (Search for Journal in Brave)
Numerical mathematical programming methods (65K05) Convex programming (90C25) Nonlinear programming (90C30)
Cites Work
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- A strong convergence result involving an inertial forward-backward algorithm for monotone inclusions
- An inertial forward-backward splitting method for solving inclusion problems in Hilbert spaces
- Convergence of a splitting inertial proximal method for monotone operators
- An accelerated viscosity forward-backward splitting algorithm with the linesearch process for convex minimization problems
- Shrinking projection methods involving inertial forward-backward splitting methods for inclusion problems
- Inertial forward-backward splitting method in Banach spaces with application to compressed sensing.
- The rate of convergence of Nesterov's accelerated forward-backward method is actually faster than \(1/k^2\)
- On the convergence of the forward–backward splitting method with linesearches
- A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
- On convergence and complexity of the modified forward‐backward method involving new linesearches for convex minimization
- Some methods of speeding up the convergence of iteration methods
- Convex analysis and monotone operator theory in Hilbert spaces
- Strong convergence of the forward–backward splitting algorithms via linesearches in Hilbert spaces
- A new projection algorithm for variational inclusion problems and its application to cervical cancer disease prediction
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