Nguyen Thi Van Hang, Ph.D

University of Duisburg-Essen,
Faculty of Mathematics,
Thea-Leymann-Straße 9,
D-45127 Essen

Room: WSC-W-4.19
Telephone: +49 201 183 6883
E-mail: thivanhang.nguyen [at]uni-due.de

Research Interest :  Convex Analysis, Variational Analysis and Applications, Numerical Methods for Optimization Problems and Algorithms,  Stochastic Optimization, Optimal Control

Publications

[11] Hang, N.T.V. and Sarabi, M.E., 2025.  Smoothness of subgradient mappings and its applications in parametric optimization. Set-Valued Var. Anal.. Online First, Volume 33, article number 41.

[10] Hang, N.T.V. and Sarabi, M.E., 2025. Convergence of augmented Lagrangian methods for composite optimization problems. Math. Oper. Res.. 51, 591–620.

[9] Hang, N.T.V., Jung, W., and Sarabi, M.E., 2024. Role of subgradients in variational analysis of polyhedral functions. J. Optim. Theory Appl. 200, 1160–1192.

[8] Hang, N.T.V. and Sarabi, M.E., 2024. A chain rule for strict twice epi-differentiability and its applications. SIAM J. Optim. 34, 918–945.

[7] Hang, N.T.V., Mordukhovich, B.S., and Sarabi, M.E., 2022 Best Paper Award. Augmented Lagrangian method for second-order cone programs under second-order sufficiency. J. Glob. Optim. 82, 51–81.

[6] Hang, N.T.V. and Sarabi, M.E., 2021. Local convergence analysis of augmented Lagrangian method for piecewise linear-quadratic composite optimization problems. SIAM J. Optim. 31, 2665–2694.

[5] Hang, N.T.V., Mordukhovich, B.S., and Sarabi, M.E., 2020. Second-order variational analysis in second-order cone programming. Math. Program. 180, 75–116.

[4] Hang, N.T.V. and Yen, N.D., 2016. On the problem of minimizing a difference of polyhedral convex functions under linear constraints. J. Optim. Theory Appl. 171, 617–642.

[3] Hang, N.T.V. and Yao, J-C, 2016. Sufficient conditions for error bounds of difference functions and applications. J. Glob. Optim. 66, 439–456.

[2] Hang, N.T.V. and Yen, N.D., 2015. Optimality conditions and stability analysis via the Mordukhovich subdifferential. Numer. Func. Anal. Optim. 36, 364–386.

[1]  Hang, N.T.V., 2014. The penalty functions method and multiplier rules based on the Mordukhovich subdifferential. Set-Valued Var. Anal. 22, 299–312.