activity
20182022
most citedOn the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization

23 citations · 23 across the 3 of their papers we have counts for

collaborators

8 papers

math.OC202223 cited

On the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization

Byron Tasseff, Tameem Albash, Zachary Morrell +4

Over the past decade, the usefulness of quantum annealing hardware for combinatorial optimization has been the subject of much debate. Thus far, experimental benchmarking studies h…

math.OC2021

Convex Relaxations of Maximal Load Delivery for Multi-contingency Analysis of Joint Electric Power and Natural Gas Transmission Networks

Byron Tasseff, Carleton Coffrin, Russell Bent

Recent increases in gas-fired power generation have engendered increased interdependencies between natural gas and power transmission systems. These interdependencies have amplifie…

math.OC2020

Optimal Economic Operation of Liquid Petroleum Products Pipeline Systems

Elena Khlebnikova, Kaarthik Sundar, Anatoly Zlotnik +3

The majority of overland transport needs for crude petroleum and refined petroleum products are met using pipelines. Numerous studies have developed optimization methods for design…

math.OC2020

Exact Mixed-integer Convex Programming Formulation for Optimal Water Network Design

Byron Tasseff, Russell Bent, Marina A. Epelman +2

In this paper, we consider the canonical water network design problem, which contains nonconvex potential loss functions and discrete resistance choices with varying costs. Traditi…

math.OC2020

Natural Gas Maximal Load Delivery for Multi-contingency Analysis

Byron Tasseff, Carleton Coffrin, Russell Bent +2

As the use of renewable generation has increased, electric power systems have become increasingly reliant on natural gas-fired power plants as fast ramping sources for meeting fluc…

math.OC2019

Exploring Benefits of Linear Solver Parallelism on Modern Nonlinear Optimization Applications

Byron Tasseff, Carleton Coffrin, Andreas Wächter +1

The advent of efficient interior point optimization methods has enabled the tractable solution of large-scale linear and nonlinear programming (NLP) problems. A prominent example o…