Követés
KUNRADA KANKAM
KUNRADA KANKAM
Suan Dusit University
E-mail megerősítve itt: dusit.ac.th
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
482019
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
172021
A novel forward-backward algorithm for solving convex minimization problem in Hilbert spaces
S Suantai, K Kankam, P Cholamjiak
Mathematics 8 (1), 42, 2020
162020
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
92019
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
82021
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
82019
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
72021
Strong convergence of the forward–backward splitting algorithms via linesearches in Hilbert spaces
K Kankam, P Cholamjiak
Applicable Analysis 102 (5), 1394-1413, 2023
62023
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
32022
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
22022
A projected forward-backward algorithm for constrained minimization with applications to image inpainting
S Suantai, K Kankam, P Cholamjiak
Mathematics 9 (8), 890, 2021
22021
New inertial forward–backward algorithm for convex minimization with applications
K Kankam, W Cholamjiak, P Cholamjiak
Demonstratio Mathematica 56 (1), 20220188, 2023
12023
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
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