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20052023
most citedCurvature squared invariants in six-dimensional supergravity

34 citations · 93 across the 13 of their papers we have counts for

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6 papers · 1 filter

math.OC2023

On relaxations of the max -cut problem formulations

Ramin Fakhimi, Hamidreza Validi, Illya V. Hicks +2

A tight continuous relaxation is a crucial factor in solving mixed integer formulations of many NP-hard combinatorial optimization problems. The (weighted) max -cut problem is a…

math.OC2023★ 1 cited

Generating Linear, Semidefinite, and Second-order Cone Optimization Problems for Numerical Experiments

Mohammadhossein Mohammadisiahroudi, Ramin Fakhimi, Brandon Augustino +1

The numerical performance of algorithms can be studied using test sets or procedures that generate such problems. This paper proposes various methods for generating linear, semidef…

math.OC2023★ 1 cited

On Semidefinite Representations of Second-order Conic Optimization Problems

Pouya Sampourmahani, Mohammadhossein Mohammadisiahroudi, Tamás Terlaky

Second-order conic optimization (SOCO) can be considered as a special case of semidefinite optimization (SDO). In the literature it has been advised that a SOCO problem can be embe…

math.OC2023★ 19 cited

An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization

Zeguan Wu, Mohammadhossein Mohammadisiahroudi, Brandon Augustino +2

Quantum linear system algorithms (QLSAs) have the potential to speed up algorithms that rely on solving linear systems. Interior Point Methods (IPMs) yield a fundamental family of…

math.OC2019

On the sensitivity of the optimal partition for parametric second-order conic optimization

Ali Mohammad-Nezhad, Tamas Terlaky

In this paper, using an optimal partition approach, we study the parametric analysis of a second-order conic optimization problem, where the objective function is perturbed along a…

math.OC2019

On computing the nonlinearity interval in parametric semidefinite optimization

Jonathan D. Hauenstein, Ali Mohammad-Nezhad, Tingting Tang +1

This paper revisits the parametric analysis of semidefinite optimization problems with respect to the perturbation of the objective function along a fixed direction. We review the…