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researcher

D. Long

4 papers hereh-index 350 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • math.OC4
same name
  • D. Long — 24 papers, h 64
  • D. Long — 22 papers, h 26
  • D. Long — 9 papers, h 44
  • D. Long — 5 papers, h 29
  • D. Long — 5 papers, h 25
  • D. Long — 4 papers, h 32

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162021
most citedA Perturbation Approach to Vector Optimization Problems: Lagrange and Fenchel-Lagrange Duality

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing math.OCShow all

4 papers · 1 filter

math.OC2021★ 1 cited

A Perturbation Approach to Vector Optimization Problems: Lagrange and Fenchel-Lagrange Duality

N. Dinh, D. H. Long

In this paper we study the general minimization vector problem (P), concerning a perturbation mapping, defined in locally convex Hausdorff topological vector spaces where the "WInf…

math.OC2021

New Representations of Epigraphs of Conjugate Mappings and Lagrange, Fenchel-Lagrange Duality for Vector Optimization Problems

N. Dinh, D. H. Long

In this paper we concern the vector problem of the model: \begin{align*} ({\rm VP})\quad\qquad &\rm{WInf} \{F(x): x\in C,\; G(x)\in -S\}. \end{align*} where X,Y,Z are locally c…

math.OC2019

Duality for Robust Linear Infinite Programming Problems Revisited

Dinh Nguyen, Long Dang Hai

In this paper, we consider the robust linear infinite programming problem (RLIPc​) defined by \begin{eqnarray*} ({\rm RLIP}_c)\quad &&\inf\; \langle c,x\rangle \textrm{sub…

math.OC2016

Characterizing weak solutions for vector optimization problems

Nguyen Dinh, Miguel A. Goberna, Dang H. Long +1

This paper provides characterizations of the weak solutions of optimization problems where a given vector function F, from a decision space X to an objective space Y, is "min…

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