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Dedicated to Professor D. S. Kim on the Occasion of his 70th Birthday
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Preface: L. Jiao, J. S. Jung, N. D. Yen
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T. H. Cuong, C.-F. Wen, J.-C. Yao and N. D. Yen
Stability analysis of the multi-source weber problem
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Bui Trong Kien and Nguyen Thanh Qui
On the existence of solutions to a class of optimal control problems
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Vo Minh Tam and Jein-Shan Chen
An inverse problem for a class of quasi-hemivariational inequalities on
constant curvature Hadamard manifolds
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Jianwen Peng, Tao Tan and Jen-Chih Yao
A sufficient descent Dai-Yuan type conjugate gradient method for multiobjective optimization problems
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Jongkyu Lee and Gyeong-Mi Cho
A new full-Newton step infeasible interior-point method for linear optimization
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Yeboon Yun, Jingwen Su and Min Yoon
Generalization and extension of data envelopment analysis
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Hong-Yi Li, Do Sang Kim and Kwan Deok Bae
Optimality conditions for nonsmooth minimax fractional optimization problems with an infinite number of constraints
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Jong Soo Jung
Strong convergence of
iterative algorithms for zeros of accretive operators in Banach
spaces
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Boris S. Mordukhovich and Oanh Nguyen
Subdifferential calculus for ordered set-valued mappings between infinite-dimensional spaces
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Nguyen Van Tuyen
On error bounds and optimality conditions at infinity
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Ta Quang Son, Hua Khac Bao and Thi Hong Cam Luong
Almost ε-quasi solutions for nonconvex semi-infinite optimization problems
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Liguo Jiao, Jae Hyoung Lee and T.-S. Pham
Fermat's rule at infinity in non-degenerate semi-algebraic optimization
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Chengmiao Yang and Henan Li
Approximate Wolfe-type duality in robust convex semi-infinite optimization problem
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Taehyeong Kim, Hyun-Min Kim and Jie Meng
On the square root of quasi-Toeplitz M-matrices
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Qian-Zhen Zheng, Ping-Feng Xu and Laixu Shang
Structure learning of Bayesian networks with latent variables via sparse and low-rank decomposition
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Abdulwahab Ahmad, Poom Kumam, Mahmoud Muhammad Yahaya, Kanokwan Sitthithakerngkiet and Watcharaporn Chilamjiak
Two-step alternated inertial algorithm for split feasibility problems with some applications
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Zhe Hong and Do Sang Kim
Approximates solutions in robust minimax programming problems with applications
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