On convergence and complexity of the modified forward‐backward method involving new linesearches for convex minimization K Kankam, N Pholasa, P Cholamjiak Mathematical Methods in the Applied Sciences 42 (5), 1352-1362, 2019 | 49 | 2019 |
A parallel monotone hybrid algorithm for a finite family of nonexpansive mappings in Hilbert spaces endowed with a graph applicable in signal recovery S Suantai, K Kankam, P Cholamjiak, W Cholamjiak Computational and Applied Mathematics 40 (4), 145, 2021 | 17 | 2021 |
A novel forward-backward algorithm for solving convex minimization problem in Hilbert spaces S Suantai, K Kankam, P Cholamjiak Mathematics 8 (1), 42, 2020 | 16 | 2020 |
Hybrid forward-backward algorithms using linesearch rule for minimization problem K Kankam, N Pholasa, P Cholamjiak Thai Journal of Mathematics 17 (3), 607-625, 2019 | 10 | 2019 |
Novel forward–backward algorithms for optimization and applications to compressive sensing and image inpainting S Suantai, MA Noor, K Kankam, P Cholamjiak Advances in Difference Equations 2021 (1), 265, 2021 | 8 | 2021 |
A double forward-backward algorithm using linesearches for minimization problem P Cholamjiak, K Kankam, P Srinet, N Pholasa Thai Journal of Mathematics 18 (1), 63-76, 2019 | 8 | 2019 |
Solving the split feasibility problem and the fixed point problem of left Bregman firmly nonexpansive mappings via the dynamical step sizes in Banach spaces N Pholasa, K Kankam, P Cholamjiak Vietnam Journal of Mathematics 49, 1011-1026, 2021 | 7 | 2021 |
Strong convergence of the forward–backward splitting algorithms via linesearches in Hilbert spaces K Kankam, P Cholamjiak Applicable Analysis 102 (5), 1394-1413, 2023 | 6 | 2023 |
Parallel Hybrid Algorithms for a Finite Family of G-Nonexpansive Mappings and Its Application in a Novel Signal Recovery S Suantai, K Kankam, W Cholamjiak, W Yajai Mathematics 10 (12), 2140, 2022 | 3 | 2022 |
Convergence Analysis of a Modified Forward-Backward Splitting Algorithm for Minimization and Application to Image Recovery K Kankam, W Cholamjiak, P Cholamjiak Computational and Mathematical Methods 2022, 2022 | 2 | 2022 |
A projected forward-backward algorithm for constrained minimization with applications to image inpainting S Suantai, K Kankam, P Cholamjiak Mathematics 9 (8), 890, 2021 | 2 | 2021 |
New inertial forward–backward algorithm for convex minimization with applications K Kankam, W Cholamjiak, P Cholamjiak Demonstratio Mathematica 56 (1), 20220188, 2023 | 1 | 2023 |
Numerical algorithms for optimization problems and applications K Kankam, P Cholamjiak University of Phayao, 2024 | | 2024 |
Convergence theorems for solving minimization problem K Kankam, P Cholamjiak University of Phayao, 2024 | | 2024 |
Inertial iterative method for solving equilibrium problems and fixed point problems M Li, Z Xie, P Cholamjiak, K Kankam Computational and Applied Mathematics 43 (1), 1-18, 2024 | | 2024 |
Novel inertial methods for fixed point problems in reflexive Banach spaces with applications P Sunthrayuth, K Kankam, R Promkam, S Srisawat Rendiconti del Circolo Matematico di Palermo Series 2, 1-39, 2023 | | 2023 |
Inertial Proximal Gradient Method Using Adaptive Stepsize for Convex Minimization Problems K Kankam, P Cholamjiak Thai Journal of Mathematics 21 (2), 277–287-277–287, 2023 | | 2023 |
Double Inertial Proximal Gradient Algorithms for Convex Optimization Problems and Applications K Kankam, P Cholamjiak Acta Mathematica Scientia 43 (3), 1462-1476, 2023 | | 2023 |
A Modified Inertial Parallel Viscosity-Type Algorithm for a Finite Family of Nonexpansive Mappings and Its Applications S Suantai, K Kankam, D Yambangwai, W Cholamjiak Mathematics 10 (23), 4422, 2022 | | 2022 |
A modified parallel monotone hybrid algorithm for a finite family of -nonexpansive mappings apply to a novel signal recovery K Kankam, P Cholamjiak, W Cholamjiak Results in Nonlinear Analysis 5 (3), 393-411, 2022 | | 2022 |