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researcher

K. Pham

18 papers hereh-index 7267 citations18 works total

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

author position
  • first author15
  • middle author1
  • last author2

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • math.OC14
  • math.FA4
same name
  • K. Pham — 7 papers, h 5
  • K. Pham — 5 papers, h 26
  • K. Pham — 4 papers, h 16
  • K. Pham — 4 papers, h 13
  • K. Pham — 4 papers, h 2
  • K. Pham — 2 papers, h 4

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
20182025
most citedInexact proximal methods for weakly convex functions

1 citations · 3 across the 14 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

math.OC2024

Lipschitz Modulus of Convex Functions via Function Values

Pham Duy Khanh, Vu Vinh Huy Khoa, Vo Thanh Phat +1

In this note, we establish the Lipschitz continuity of finite-dimensional globally convex functions on all given balls and global Lipschitz continuity for eligible functions of tha…

math.FA2024

Relationships between Global and Local Monotonicity of Operators

Pham Duy Khanh, Vu Vinh Huy Khoa, Juan Enrique Martínez-Legaz +1

The paper is devoted to establishing relationships between global and local monotonicity, as well as their maximality versions, for single-valued and set-valued mappings between fi…

math.OC2024

Coderivative-Based Newton Methods in Structured Nonconvex and Nonsmooth Optimization

Pham Duy Khanh, Boris S. Mordukhovich, Vo Thanh Phat

This paper proposes and develops new Newton-type methods to solve structured nonconvex and nonsmooth optimization problems with justifying their fast local and global convergence b…

math.OC2024

Fundamental Convergence Analysis of Sharpness-Aware Minimization

Pham Duy Khanh, Hoang-Chau Luong, Boris S. Mordukhovich +1

The paper investigates the fundamental convergence properties of Sharpness-Aware Minimization (SAM), a recently proposed gradient-based optimization method [Foret et al., 2021] tha…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.