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20182025
most citedInexact proximal methods for weakly convex functions

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

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math.OC2025

Characterizations of Variational Convexity and Tilt Stability via Quadratic Bundles

Pham Duy Khanh, Boris S. Mordukhovich, Vo Thanh Phat +1

In this paper, we establish characterizations of variational -convexity and tilt stability for prox-regular functions in the absence of subdifferential continuity via quadratic…

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.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…

math.OC2023

Second-Order Subdifferential Optimality Conditions in Nonsmooth Optimization

Pham Duy Khanh, Vu Vinh Huy Khoa, Boris S. Mordukhovich +1

The paper is devoted to deriving novel second-order necessary and sufficient optimality conditions for local minimizers in rather general classes of nonsmooth unconstrained and con…

math.OC2023

Local Minimizers of Nonconvex Functions in Banach Spaces via Moreau Envelopes

Pham Duy Khanh, Vu Vinh Huy Khoa, Boris S. Mordukhovich +1

This paper investigates the preservation of local minimizers and strong minimizers of extended-real-valued lower semicontinuous functions under taking their Moreau envelopes. We ad…

math.OC2023

Variational and Strong Variational Convexity in Infinite-Dimensional Variational Analysis

Pham Duy Khanh, Vu Vinh Huy Khoa, Boris S. Mordukhovich +1

This paper is devoted to a systematic study and characterizations of the fundamental notions of variational and strong variational convexity for lower semicontinuous functions. Whi…

math.OC2023

Local Maximal Monotonicity in Variational Analysis and Optimization

Pham Duy Khanh, Vu Vinh Huy Khoa, Boris S. Mordukhovich +1

The paper is devoted to a systematic study and characterizations of notions of local maximal monotonicity and their strong counterparts for set-valued operators that appear in vari…

math.OC2023★ 1 cited

Inexact proximal methods for weakly convex functions

Pham Duy Khanh, Boris Mordukhovich, Vo Thanh Phat +1

This paper proposes and develops inexact proximal methods for finding stationary points of the sum of a smooth function and a nonsmooth weakly convex one, where an error is present…

math.OC2022

Variational Convexity of Functions in Banach Spaces

Pham Duy Khanh, Vu Vinh Huy Khoa, Boris S. Mordukhovich +1

This paper addresses the study and characterizations of variational convexity of extended-real-valued functions on Banach spaces. This notion has been recently introduced by Rockaf…

math.OC2022

Inexact reduced gradient methods in nonconvex optimization

Pham Duy Khanh, Boris S. Mordukhovich, Dat Ba Tran

This paper proposes and develops new linesearch methods with inexact gradient information for finding stationary points of nonconvex continuously differentiable functions on finite…

math.OC2021

Globally Convergent Coderivative-Based Generalized Newton Methods in Nonsmooth Optimization

Pham Duy Khanh, Boris Mordukhovich, Vo Thanh Phat +1

This paper proposes and justifies two globally convergent Newton-type methods to solve unconstrained and constrained problems of nonsmooth optimization by using tools of variationa…

math.OC2021★ 1 cited

Generalized Damped Newton Algorithms in Nonsmooth Optimization via Second-Order Subdifferentials

Pham Duy Khanh, Boris Mordukhovich, Vo Thanh Phat +1

The paper proposes and develops new globally convergent algorithms of the generalized damped Newton type for solving important classes of nonsmooth optimization problems. These alg…

math.OC2020★ 1 cited

A Generalized Newton Method for Subgradient Systems

Pham Duy Khanh, Boris Mordukhovich, Vo Thanh Phat

This paper proposes and develops a new Newton-type algorithm to solve subdifferential inclusions defined by subgradients of extended-real-valued prox-regular functions. The propose…