N
Nguyen Thi Van Hang
Researcher at Vietnam Academy of Science and Technology
Publications - 12
Citations - 76
Nguyen Thi Van Hang is an academic researcher from Vietnam Academy of Science and Technology. The author has contributed to research in topics: Augmented Lagrangian method & Variational analysis. The author has an hindex of 4, co-authored 10 publications receiving 49 citations. Previous affiliations of Nguyen Thi Van Hang include Wayne State University.
Papers
More filters
Journal ArticleDOI
Second-order variational analysis in second-order cone programming
TL;DR: The paper proves that the indicator function of Q is always twice epi-differentiable and applies this result to characterizing the uniqueness of Lagrange multipliers together with an error bound estimate in the general second-order cone programming setting involving twice differentiable data.
Posted Content
Augmented Lagrangian Method for Second-Order Cone Programs under Second-Order Sufficiency
TL;DR: This paper addresses problems of second-order cone programming important in optimization theory and applications by formulate the corresponding version ofsecond-order sufficiency and use it to establish the uniform second- order growth condition for the augmented Lagrangian.
Journal ArticleDOI
Augmented Lagrangian Method for Second-Order Cone Programs under Second-Order Sufficiency
TL;DR: In this article, the augmented Lagrangian method (ALM) for second-order cone programming is studied in both exact and inexact form. But the main attention is paid to the ALM for subproblems in both the exact and the inexact forms.
Journal ArticleDOI
On the Problem of Minimizing a Difference of Polyhedral Convex Functions Under Linear Constraints
TL;DR: The Fréchet and Mordukhovich subdifferentials of a d.p. (difference of polyhedral convex functions) programming models, unconstrained and linearly constrained, in a finite-dimensional setting are studied.
Posted Content
Local Convergence Analysis of Augmented Lagrangian Methods for Piecewise Linear-Quadratic Composite Optimization Problems
TL;DR: In this paper, the second-order sufficient condition for local optimality has been shown to justify linear convergence of the primal-dual sequence generated by the augmented Lagrangian method for piecewise linear-quadratic composite optimization problems.