3 citations · 3 across the 4 of their papers we have counts for
5 papers
Qualitative Analysis and Adaptive Boosted DCA for Generalized Multi-Source Weber Problems
Vo Si Trong Long, Nguyen Mau Nam, Tuyen Tran +1
This paper has two primary objectives. First, we investigate fundamental qualitative properties of the generalized multi-source Weber problem formulated using the Minkowski gauge f…
The Boosted DC Algorithm for Clustering with Constraints
Tuyen Tran, Kate Figenschou, Phan Tu Vuong
This paper aims to investigate the effectiveness of the recently proposed Boosted Difference of Convex functions Algorithm (BDCA) when applied to clustering with constraints and se…
Solving a Continuous Multifacility Location Problem by DC Algorithms
Anuj Bajaj, Boris Mordukhovich, Nguyen Mau Nam +1
The paper presents a new approach to solve multifacility location problems, which is based on mixed integer programming and algorithms for minimizing differences of convex (DC) fun…
Nesterov's Smoothing Technique and Minimizing Differences of Convex Functions for Hierarchical Clustering
Nguyen Mau Nam, Wondi Geremew, Sam Raynolds +1
A bilevel hierarchical clustering model is commonly used in designing optimal multicast networks. In this paper, we consider two different formulations of the bilevel hierarchical…
Variational Geometric Approach to Generalized Differential and Fenchel Conjugate Calculi in Convex Analysis
Boris Mordukhovich, Nguyen Mau Nam, R. Blake Rector +1
This paper develops a geometric approach of variational analysis for the case of convex objects considered in locally convex topological spaces and also in Banach space settings. B…