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20112022
most citedA Scalable Semidefinite Relaxation Approach to Grid Scheduling

6 citations · 12 across the 8 of their papers we have counts for

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math.OC20223 cited

A First-Order Numerical Algorithm without Matrix Operations

Muhammad Adil, Ramtin Madani, Sasan Tavakkol +1

This paper offers a matrix-free first-order numerical method to solve large-scale conic optimization problems. Solving systems of linear equations pose the most computationally cha…

math.OC20213 cited

Rapid Convergence of First-Order Numerical Algorithms via Adaptive Conditioning

Muhammad Adil, Sasan Tavakkol, Ramtin Madani

This paper is an attempt to remedy the problem of slow convergence for first-order numerical algorithms by proposing an adaptive conditioning heuristic. First, we propose a paralle…

math.OC2020

Penalized Semidefinite Programming for Quadratically-Constrained Quadratic Optimization

Ramtin Madani, Mohsen Kheirandishfard, Javad Lavaei +1

In this paper, we give a new penalized semidefinite programming approach for non-convex quadratically-constrained quadratic programs (QCQPs). We incorporate penalty terms into the…

math.OC2018

Convex Relaxation of Bilinear Matrix Inequalities Part II: Applications to Optimal Control Synthesis

Mohsen Kheirandishfard, Fariba Zohrizadeh, Muhammad Adil +1

The first part of this paper proposed a family of penalized convex relaxations for solving optimization problems with bilinear matrix inequality (BMI) constraints. In this part, we…

math.OC2018

Convex Relaxation of Bilinear Matrix Inequalities Part I: Theoretical Results

Mohsen Kheirandishfard, Fariba Zohrizadeh, Ramtin Madani

This two-part paper is concerned with the problem of minimizing a linear objective function subject to a bilinear matrix inequality (BMI) constraint. In this part, we first conside…

math.OC2018

Sequential Relaxation of Unit Commitment with AC Transmission Constraints

Fariba Zohrizadeh, Mohsen Kheirandishfard, Adnan Nasir +1

This paper proposes a sequential convex relaxation method for obtaining feasible and near-globally optimal solutions for unit commitment (UC) with AC transmission constraints. Firs…