activity
20102025
most citedA Generalized Sylvester Problem and a Generalized Fermat-Torricelli Problem

15 citations · 36 across the 26 of their papers we have counts for

collaborators

29 papers

math.OC2025

Lagrange Multipliers and Duality with Applications to Constrained Support Vector Machine

Nguyen Mau Nam, Gary Sandine, Quoc Tran-Dinh

In this paper, we employ the concept of quasi-relative interior to analyze the method of Lagrange multipliers and establish strong Lagrangian duality for nonsmooth convex optimizat…

math.OC2024

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…

math.OC2023

Generalized Relative Interiors and Generalized Convexity in Infinite Dimensions

Vo Si Trong Long, Boris Mordukhovich, Nguyen Mau Nam

This paper focuses on investigating generalized relative interior notions for sets in locally convex topological vector spaces with particular attentions to graphs of set-valued ma…

math.OC2023

Fenchel Conjugate of Set-Valued Mappings

Nguyen Mau Nam, Gary Sandine, Nguyen Nang Thieu +1

In this paper, we present a novel concept of the Fenchel conjugate for set-valued mappings and investigate its properties in finite and infinite dimensions. After establishing the…

math.OC2023★ 1 cited

Nearly Convex Optimal Value Functions and Some Related Topics

Nguyen Quang Huy, Nguyen Mau Nam, Nguyen Dong Yen

In this paper, we introduce new properties of the relative interior calculus for nearly convex sets, functions, and set-valued mappings. These properties are important for the deve…

math.OC2023

Properties of Generalized Polyhedral Convex Multifunctions

Nguyen Ngoc Luan, Nguyen Mau Nam, Nguyen Dong Yen

This paper presents a study of generalized polyhedral convexity under basic operations on multifunctions. We address the preservation of generalized polyhedral convexity under sums…

math.OC2023

Near Convexity and Generalized Differentiation

Nguyen Mau Nam, Nguyen Nang Thieu, Nguyen Dong Yen

In this paper, we introduce the concept of nearly convex set-valued mappings and investigate fundamental properties of these mappings. Additionally, we establish a geometric approa…

math.OC2022

Relationships between Polyhedral Convex Sets and Generalized Polyhedral Convex Sets

Nguyen Ngoc Luan, Nguyen Mau Nam, Nguyen Nang Thieu +1

In this paper we study some relationships between polyhedral convex sets (PCS) and generalized polyhedral convex sets (GPCS). In particular, we clarify by a counterexample that the…

math.OC2022

Revisiting Rockafellar's Theorem on Relative Interiors of Convex Graphs with Applications to Convex Generalized Differentiation

Dang Van Cuong, Boris Mordukhovich, Nguyen Mau Nam +1

In this paper we revisit a theorem by Rockafellar on representing the relative interior of the graph of a convex set-valued mapping in terms of the relative interior of its domain…

math.OC2019

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…

math.OC2018

Quasi-Relative Interiors for Graphs of Convex Set-Valued Mappings

Dang Van Cuong, Boris S. Mordukhovich, Nguyen Mau Nam

This paper aims at providing further studies of the notion of quasi-relative interior for convex sets introduced by Borwein and Lewis. We obtain new formulas for representing quasi…

math.OC2017★ 2 cited

Subgradients of Minimal Time Functions without Calmness

Nguyen Mau Nam, Dang Van Cuong

In recent years there has been great interest in variational analysis of a class of nonsmooth functions called the minimal time function. In this paper we continue this line of res…

math.OC2017

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…

math.OC2016★ 1 cited

Extremality of Convex Sets with Some Applications

Boris Mordukhovich, Nguyen Mau Nam

In this paper we introduce an enhanced notion of extremal systems for sets in locally convex topological vector spaces and obtain efficient conditions for set extremality in the co…

math.OC2016★ 3 cited

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…

math.OC2015★ 2 cited

Minimizing Differences of Convex Functions and Applications to Facility Location and Clustering

Nguyen Mau Nam, R. Blake Rector, Daniel Giles

In this paper we develop algorithms to solve generalized weighted Fermat-Torricelli problems with positive and negative weights and multifacility location problems involving distan…

math.OC2015

Geometric Approach to Subdifferential Calculus

Boris Mordukhovich, Nguyen Mau Nam

In this paper we develop a geometric approach to convex subdifferential calculus in finite dimensions with employing some ideas of modern variational analysis. This approach allows…

math.OC2014★ 2 cited

A D.C. Algorithm via Convex Analysis Approach for Solving a Location Problem Involving Sets

Nguyen Thai An, Nguyen Mau Nam, Nguyen Dong Yen

We study a location problem that involves a weighted sum of distances to closed convex sets. As several of the weights might be negative, traditional solution methods of convex opt…

math.OC2014

Generalized Differentiation and Characterizations for Differentiability of Infimal Convolutions

Nguyen Mau Nam, Dang Van Cuong

This paper is devoted to the study of generalized differentiation properties of the infimal convolution. This class of functions covers a large spectrum of nonsmooth functions well…

math.OC2013

Subdifferential Formulas for a Class of Nonconvex Infimal Convolutions

Nguyen Mau Nam

In this paper, we provide a number of subdifferential formulas for a class of nonconvex infimal convolutions in normed spaces. The formulas obtained unify several results on subdif…

math.OC2013

A Unified Approach to Convex and Convexified Generalized Differentiation of Nonsmooth Functions and Set-Valued Mappings

Nguyen Mau Nam, Nguyen Dinh Hoang, R. Blake Rector

In the early 1960's, Moreau and Rockafellar introduced a concept of called \emph{subgradient} for convex functions, initiating the developments of theoretical and applied convex an…

math.OC2013

The Log-Exponential Smoothing Technique and Nesterov's Accelerated Gradient Method for Generalized Sylvester Problems

Nguyen Thai An, Daniel Giles, Nguyen Mau Nam +1

The Sylvester smallest enclosing circle problem involves finding the smallest circle that encloses a finite number of points in the plane. We consider generalized versions of the S…

math.OC2013

Subgradient Algorithm, Stochastic Subgradient Algorithm, Incremental Subgradient Algorithm, and Set Location Problems

Nguyen Mau Nam, Nguyen Thai An, Han Le

In recent years, important progress has been made in applying methods and techniques of convex optimization to many fields of applications such as location science, engineering, co…

math.OC2013

The Fermat-Torricelli Problem and Weiszfeld's Algorithm in the Light of Convex Analysis

Boris Mordukhovich, Nguyen Mau Nam

In the early 17th century, Pierre de Fermat proposed the following problem: given three points in the plane, find a point such that the sum of its Euclidean distances to the three…