Publications
G. Kumar, T. Som , and P. Roy. Projected subgradient method for nonsmooth interval optimization problems with application. Journal of Computational and Applied Mathematics, 118077, 2026. (https://doi.org/10.1016/j.cam.2026.118077)
2. G. Kumar, S. Soe and V. Vetrivel. Weak convergence of projection algorithm with momentum terms and new step-size rule for quasimonotone variational inequalities. The Journal of Analysis, 1-22, 2026. (https://doi.org/10.1007/s41478-026-01104-x)
3. G. Kumar and T. Som. Interval variational inequalities and their relationship with interval optimization problems. The Journal of Analysis 31(4), 2717-2740, 2023. (https://doi.org/10.1007/s41478-023-00588-1(012345678).
4. G. Kumar and JC Yao. Fréchet subdifferential calculus for interval-valued functions and its applications in nonsmooth interval optimization. J. Nonlinear Var. Anal. 7 (5), 811-837, 2023. (https://doi.org/10.23952/jnva.7.2023.5.09).
5. G. Kumar and D. Ghosh. Ekeland's variational principle for interval-valued functions. Computational and Applied Mathematics 42(1), 28, 2023. (https://doi.org/10.1007/s40314-022-02173-x).
6. K. Kumar, G. Kumar and D. Ghosh. Weak sharp minima for interval-valued functions and its primal-dual characterizations using generalized Hukuhara subdifferentiability. Soft Computing 26(19), 10253-10273, 2022. (https://doi.org/10.1007/s00500-022-07332-0).
7. G. Kumar and D. Ghosh. Interval variational inequalities. Proceedings of SocPros 2019. (https://doi.org/10.1007/978-981-15-3290-0).