Công bố

10.

Inertial Algorithms for Solving Nonmonotone Variational Inequality Problems
Bien Thanh Tuyen, Hy Duc Manh and Bui Van Dinh*
Abstract. In this paper, we will construct an inertial algorithm without using the embedded projection method to find a solution of variational inequality problems in which the cost mapping is not required to be atisfied any pseudomonotonicity. The iterative sequences generated by algorithms under the main assumption SM ̸= ∅ are proved that they converge to a solution of the corresponding problems. In addition,numerical experiments are provided to show the effectiveness of the algorithm. (https://viasm.edu.vn/Cms_Data/Contents/viasm/Media/congbo/B-V-Dinh-Inertial-Algorithms-for-Solving-Nonmonotone-Variational-Inequality-Problems.pdf)

9.

N.T.V. Hang and M.E. Sarabi: A chain rule for strict twice epi-differentiability and its applications. SIAM J. Optim., 34 (2024), 918—945. Link :https://epubs.siam.org/doi/10.1137/22M1520025

8.

N.T.V. Hang, W. Jung, and M.E. Sarabi: Role of subgradients in variational analysis of polyhedral functions. J. Optim. Theory Appl., 200 (2024), 1160—1192. Link: https://link.springer.com/article/10.1007/s10957-024-02378-6

7.

T. Ashitha, T. Asir, D.T. Hoang, and M.R. Pournaki (2023), Some bounds for the regularity of the edge ideals and their powers in a certain class of graphs, Studia Scientiarum Mathematicarum Hungarica: Combinatorics, Geometry and Topology, No 4, Vol 60, page 237–248 (https://akjournals.com/view/journals/012/60/4/article-p237.xml

6.

Le, B.L., Martin, L., Demir, E., Vu, D.M. (2024). A* Search Algorithm for an Optimal Investment Problem in Vehicle-Sharing Systems. In: Hà, M.H., Zhu, X., Thai, M.T. (eds) Computational Data and Social Networks. CSoNet 2023. Lecture Notes in Computer Science, vol 14479. Springer, Singapore. https://doi.org/10.1007/978-981-97-0669-3_16

5.

Vu, D.M., Hewitt, M., Vu, D.D. (2024). Solving Time-Dependent Traveling Salesman Problem with Time Windows Under Generic Time-Dependent Travel Cost. In: Hà, M.H., Zhu, X., Thai, M.T. (eds) Computational Data and Social Networks. CSoNet 2023. Lecture Notes in Computer Science, vol 14479. Springer, Singapore. https://doi.org/10.1007/978-981-97-0669-3_20

4.

Dung TK Ha, Canh V Pham, Tan D Tran. Improved approximation algorithms for-submodular maximization under a knapsack constraint. Computers & Operations Research. Volume 161, January 2024, 106452.(pdf)

3.

Phuong N.H. Pham, Canh V. Pham, Hieu V. Duong, Václav Snášel, Nguyen Trung Thanh. Minimizing cost for influencing target groups in social network: A model and algorithmic approach. Computer Communications, Volume 212, 1 December 2023, Pages 182-197(SCIE-Q1) ( pdf )

2.

Do Trong Hoang, Hop D. Nguyen and Quang Hoa Tran. Asymptotic regularity of invariant chains of edge ideals. Journal of Algebraic Combinatorics , Vol. 59 (2024), pages 55–94 (SCIE), Doi: https://doi.org/10.1007/s10801-023-01284-w

1.

Ho V. N. Phuong and Quang Hoa Tran.  A new proof of Stanley's theorem on the strong Lefschetz property. Colloquium Mathematicum, Vol. 173, no. 1  (2023) , 1-8.  DOI: 10.4064/cm8987-11-2022