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
48 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
9 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