activity
20182026
most citedThe exact worst-case convergence rate of the gradient method with fixed step lengths for L-smooth functions

5 citations · 8 across the 16 of their papers we have counts for

collaborators

16 papers

math.OC2026

Difference-of-Convex Optimization via Inexact Smoothing Descent Methods: Difference of High-Order Moreau Envelopes

Alireza Kabgani, Moslem Zamani, Masoud Ahookhosh

This paper studies difference-of-convex (DC) optimization problems through smoothing descent techniques. In particular, we introduce the difference of high-order Moreau envelopes (…

math.OC2025

On the convergence rate of the Douglas-Rachford splitting algorithm

Hadi Abbaszadehpeivasti, Moslem Zamani

This work is concerned with the convergence rate analysis of the Douglas-Rachford splitting (DRS) method for finding a zero of the sum of two maximally monotone operators. We obtai…

math.OC2025

Are Convex Optimization Curves Convex?

Guy Barzilai, Ohad Shamir, Moslem Zamani

In this paper, we study when we might expect the optimization curve induced by gradient descent to be \emph{convex} -- precluding, for example, an initial plateau followed by a sha…

math.OC2024

Exact Convergence rate of the subgradient method by using Polyak step size

Moslem Zamani, François Glineur

This paper studies the last iterate of subgradient method with Polyak step size when applied to the minimization of a nonsmooth convex function with bounded subgradients. We show t…

math.OC2024

On the Set of Possible Minimizers of a Sum of Convex Functions

Moslem Zamani, François Glineur, Julien M. Hendrickx

Consider a sum of convex functions, where the only information known about each individual summand is the location of a minimizer. In this work, we give an exact characterization o…

math.OC2023★ 1 cited

Exact convergence rate of the last iterate in subgradient methods

Moslem Zamani, François Glineur

We study the convergence of the last iterate in subgradient methods applied to the minimization of a nonsmooth convex function with bounded subgradients. We first introduce a proof…

math.OC2022

Convergence rate analysis of randomized and cyclic coordinate descent for convex optimization through semidefinite programming

Hadi Abbaszadehpeivasti, Etienne de Klerk, Moslem Zamani

In this paper, we study randomized and cyclic coordinate descent for convex unconstrained optimization problems. We improve the known convergence rates in some cases by using the n…

math.OC2022

Convergence rate analysis of the gradient descent-ascent method for convex-concave saddle-point problems

Moslem Zamani, Hadi Abbaszadehpeivasti, Etienne de Klerk

In this paper, we study the gradient descent-ascent method for convex-concave saddle-point problems. We derive a new non-asymptotic global convergence rate in terms of distance to…

math.OC2022

The exact worst-case convergence rate of the alternating direction method of multipliers

Moslem Zamani, Hadi Abbaszadehpeivasti, Etienne de Klerk

Recently, semidefinite programming performance estimation has been employed as a strong tool for the worst-case performance analysis of first order methods. In this paper, we deriv…

math.OC2022

Conditions for linear convergence of the gradient method for non-convex optimization

Hadi Abbaszadehpeivasti, Etienne de Klerk, Moslem Zamani

In this paper, we derive a new linear convergence rate for the gradient method with fixed step lengths for non-convex smooth optimization problems satisfying the Polyak-Lojasiewicz…

math.OC2021★ 1 cited

On the rate of convergence of the Difference-of-Convex Algorithm (DCA)

Hadi Abbaszadehpeivasti, Etienne de Klerk, Moslem Zamani

In this paper, we study the convergence rate of the DCA (Difference-of-Convex Algorithm), also known as the convex-concave procedure, with two different termination criteria that a…

math.OC2021★ 5 cited

The exact worst-case convergence rate of the gradient method with fixed step lengths for L-smooth functions

Hadi Abbaszadehpeivasti, Etienne de Klerk, Moslem Zamani

In this paper, we study the convergence rate of the gradient (or steepest descent) method with fixed step lengths for finding a stationary point of an -smooth function. We estab…

math.OC2020★ 1 cited

Error bounds and a condition number for the absolute value equations

Moslem Zamani, Milan Hladic

Absolute value equations, due to their relation to the linear complementarity problem, have been intensively studied recently. In this paper, we present error bounds for absolute v…

math.OC2019

Proper efficiency, scalarization and transformation in multi-objective optimization: Unified approaches

Moslem Zamani, Majid Soleimani-damaneh

In this paper, we investigate the relationships between proper efficiency and the solutions of a general scalarization problem in multi-objective optimization. We provide some cond…

math.OC2019

New bounds for nonconvex quadratically constrained quadratic programming

Moslem Zamani

In this paper, we study some bounds for nonconvex quadratically constrained quadratic programs. We propose two types of bounds for quadratically constrained quadratic programs, qua…

math.OC2018

A new dual for quadratic programming and its applications

Moslem Zamani

The main outcomes of the paper are divided into two parts. First, we present a new dual for quadratic programs, in which, the dual variables are affine functions, and we prove stro…