David E. Bernal

Orcid: 0000-0002-8308-5016

Affiliations:
  • Universities Space Research Association (USRA), Research Institute for Advanced Computer Science (RIACS), Moffett Federal Airfield, CA, USA
  • Carnegie Mellon University, Department of Chemical Engineering, Pittsburgh, PA, USA (former, PhD)
  • NASA Ames Research Center, Quantum AI Lab (QuAIL), Moffett Field, CA, USA (former)


According to our database1, David E. Bernal authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications.
CoRR, 2024

Accelerating Continuous Variable Coherent Ising Machines via Momentum.
CoRR, 2024

2023
Mind the O˜: Asymptotically Better, but Still Impractical, Quantum Distributed Algorithms.
Algorithms, July, 2023

Asymptotically Faster Quantum Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees.
CoRR, 2023

Quantum Distributed Algorithms for Approximate Steiner Trees and Directed Minimum Spanning Trees.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022
Characterization of QUBO reformulations for the maximum k-colorable subgraph problem.
Quantum Inf. Process., 2022

Alternative regularizations for Outer-Approximation algorithms for convex MINLP.
J. Glob. Optim., 2022

Copositive programming for mixed-binary quadratic optimization via Ising solvers.
CoRR, 2022

2021
Hybrid model generation for superstructure optimization with Generalized Disjunctive Programming.
Comput. Chem. Eng., 2021

2020
Improving the performance of DICOPT in convex MINLP problems using a feasibility pump.
Optim. Methods Softw., 2020

Using regularization and second order information in outer approximation for convex MINLP.
Math. Program., 2020

Integration of crude-oil scheduling and refinery planning by Lagrangean Decomposition.
Comput. Chem. Eng., 2020

Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part II: Rigorous design of catalytic distillation columns.
Comput. Chem. Eng., 2020

Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part I: A new mathematical framework.
Comput. Chem. Eng., 2020

Large-scale selective maintenance optimization using bathtub-shaped failure rates.
Comput. Chem. Eng., 2020

Integer Programming Techniques for Minor-Embedding in Quantum Annealers.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2020

2019
Global optimization algorithm for multi-period design and planning of centralized and distributed manufacturing networks.
Comput. Chem. Eng., 2019

A center-cut algorithm for quickly obtaining feasible solutions and solving convex MINLP problems.
Comput. Chem. Eng., 2019

2018
Improved quadratic cuts for convex mixed-integer nonlinear programs.
Comput. Chem. Eng., 2018


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