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  2024 (15)
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. Shaydulin, R.; Li, C.; Chakrabarti, S.; Herman, D.; Kumar, N.; Larson, J.; Lykov, D.; Minssen, P.; Sun, Y.; Alexeev, Y.; DeCross, M.; Dreiling, J. M.; Gaebler, J. P.; Gatterman, T. M.; Gerber, J. A.; Gilmore, K.; Gresh, D.; Hewitt, N.; Horst, C. V.; Hu, S.; Johansen, J.; Matheny, M.; Mengle, T.; Mills, M.; Moses, S. A.; Neyenhuis, B.; Siegfried, P.; Yalovetzky, R.; and Pistoia, M. Science Advances, 10(22). 2024.
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem [link]Paper   doi   link   bibtex  
Challenges with Differentiable Quantum Dynamics. Narayanan, S. H. K.; Perlin, M.; Lewis-Swan, R.; Larson, J.; Menickelly, M.; Hückelheim, J.; and Hovland, P. In 8th International Conference on Algorithmic Differentiation, 2024.
Challenges with Differentiable Quantum Dynamics [link]Paper   link   bibtex  
Structure-Aware Methods for Expensive Derivative-Free Nonsmooth Composite Optimization. Larson, J.; and Menickelly, M. Mathematical Programming Computation, 16: 1–36. 2024.
Structure-Aware Methods for Expensive Derivative-Free Nonsmooth Composite Optimization [link]Paper   doi   link   bibtex  
Energy Efficient Algorithms for Nonlinear Optimization. Kim, K.; Larson, J.; Leyffer, S.; and Menickelly, M. Energy-Efficient Computing for Science Workshop Position Paper. 2024.
Energy Efficient Algorithms for Nonlinear Optimization [link]Paper   link   bibtex  
Multistart Algorithm for Identifying All Optima of Nonconvex Stochastic Functions. Jaiswal, P.; and Larson, J. Optimization Letters, 18(6): 1335–1360. 2024.
Multistart Algorithm for Identifying All Optima of Nonconvex Stochastic Functions [link]Paper   doi   link   bibtex  
Interpolation-Based Composite Derivative-Free Optimization. Larson, J.; Menickelly, M.; O'Neal, J. P.; and Wild, S. M. 2024.
Interpolation-Based Composite Derivative-Free Optimization [link]Paper   link   bibtex   1 download  
Electric Vehicle Supply Equipment Location and Capacity Allocation for Fixed-Route Networks. Davatgari, A.; Cokyasar, T.; Larson, J.; and Mohammadian, A. European Journal of Operational Research, 317(3): 953–966. 2024.
Electric Vehicle Supply Equipment Location and Capacity Allocation for Fixed-Route Networks [link]Paper   doi   link   bibtex  
Switching Time Optimization for Binary Quantum Optimal Control. Fei, X.; Brady, L. T.; Larson, J.; Leyffer, S.; and Shen, S. ACM Transactions on Quantum Computing. 2024.
doi   link   bibtex  
Binary Quantum Control Optimization with Uncertain Hamiltonians. Fei, X.; Brady, L. T.; Larson, J.; Leyffer, S.; and Shen, S. Under review. 2024.
doi   link   bibtex  
A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms. Larson, J.; Menickelly, M.; and Shi, J. Under review. 2024.
doi   link   bibtex  
Integrating ytopt and libEnsemble to Autotune OpenMC. Wu, X.; Tramm, J.; Larson, J.; Navarro, J.; Balaprakash, P.; Videau, B.; Kruse, M.; Hovland, P.; Taylor, V.; and Hall, M. International Journal of High Performance Computing Applications. 2024.
doi   link   bibtex  
Portable, heterogeneous ensemble workflows at scale using libEnsemble. Hudson, S.; Larson, J.; Navarro, J.; and Wild, S. M. Under review. 2024.
doi   link   bibtex  
Variational quantum state preparation for quantum-enhanced metrology in noisy systems. Castro, J. C. Z.; Larson, J.; Narayanan, S. H. K.; Colussi, V. E.; Perlin, M. A.; and Lewis-Swan, R. J. Under review. 2024.
doi   link   bibtex  
QFI-Opt. Colussi, V.; Larson, J.; Lewis-Swan, R.; Narayanan, S.; Perlin, M.; and Zuñiga Castro, J. 2024.
QFI-Opt [link]Paper   link   bibtex  
End-to-End Protocol for High-Quality QAOA Parameters with Few Shots. Hao, T.; He, Z.; Shaydulin, R.; Larson, J.; and Pistoia, M. Under review. 2024.
doi   link   bibtex  
  2023 (19)
Inferring Quantum Network Topology using Local Measurements. Chen, D. T.; Doolittle, B.; Larson, J.; Saleem, Z. H.; and Chitambar, E. PRX Quantum, 4: 040347. 2023.
Inferring Quantum Network Topology using Local Measurements [link]Paper   doi   link   bibtex  
Bayesian optimization of laser-plasma accelerators assisted by reduced physical models. Ferran Pousa, A.; Jalas, S.; Kirchen, M.; Martinez de la Ossa, A.; Thévenet, M.; Hudson, S.; Larson, J.; Huebl, A.; Vay, J.; and Lehe, R. Physical Review Accelerators and Beams, 26(8): 084601. 2023.
Bayesian optimization of laser-plasma accelerators assisted by reduced physical models [link]Paper   doi   link   bibtex  
Binary Control Pulse Optimization for Quantum Systems. Fei, X.; Brady, L. T.; Larson, J.; Leyffer, S.; and Shen, S. Quantum, 7: 892. 2023.
Binary Control Pulse Optimization for Quantum Systems [link]Paper   doi   link   bibtex   1 download  
Large-Scale Dynamic Ridesharing with Iterative Assignment. Vakayil, A.; de Souza, F.; Cokyasar, T.; Gurumurthy, K. M.; and Larson, J. Under review. 2023.
doi   link   bibtex  
Basic Research Needs in Quantum Computing and Communications Pre-Workshop Report. Broz, J.; Byrd, M.; Chembo, Y.; de Jong, W. A.; Figueroa, E.; Humble, T.; Larson, J.; Lougovski, P.; Parekh, O.; Quiroz, G.; and Svore, K. 2023.
Basic Research Needs in Quantum Computing and Communications Pre-Workshop Report [link]Paper   link   bibtex  
Leveraging national laboratories to increase Black representation in STEM: Recommendations within the Department of Energy. Hampton-Marcell, J.; Bryson, T.; Larson, J.; Childers, T.; Pasero, S.; Watkins, C.; Reed, T.; Flucas-Payton, D.; and Papka, M. International Journal of STEM Education, 10(1). 2023.
doi   link   bibtex  
Comparison of Multiobjective Optimization Methods for the LCLS-II Photoinjector. Neveu, N.; Chang, T. H.; Franz, P.; Hudson, S.; and Larson, J. Computer Physics Communications, 283: 108566. oct 2023.
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Parameter Transfer for Quantum Approximate Optimization of Weighted MaxCut. Shaydulin, R.; Lotshaw, P. C.; Larson, J.; Ostrowski, J.; and Humble, T. S. ACM Transactions on Quantum Computing, 4(3): 1–15. 2023.
Parameter Transfer for Quantum Approximate Optimization of Weighted MaxCut [link]Paper   doi   link   bibtex  
Modeling Approaches for Addressing Simple Unrelaxable Constraints with Unconstrained Optimization Methods. Larson, J.; Padidar, M.; and Wild, S. M. Optimization Letters, 17(3): 561–589. 2023.
Modeling Approaches for Addressing Simple Unrelaxable Constraints with Unconstrained Optimization Methods [link]Paper   doi   link   bibtex  
Derivative-free optimization of a rapid-cycling synchrotron. Eldred, J. S.; Larson, J.; Padidar, M.; Stern, E.; and Wild, S. M. Optimization and Engineering, 24(2): 1289–1319. 2023.
Derivative-free optimization of a rapid-cycling synchrotron [link]Paper   doi   link   bibtex  
QContext: Context-Aware Decomposition for Quantum Gates. Liu, J.; Bowman, M.; Gokhale, P.; Dangwal, S.; Larson, J.; Chong, F. T.; and Hovland, P. D. In Proceedings of the IEEE International Symposium on Circuits and Systems, 2023.
QContext: Context-Aware Decomposition for Quantum Gates [link]Paper   doi   link   bibtex  
Hardware-Conscious Optimization of the Quantum Toffoli Gate. Bowman, M. A.; Gokhale, P.; Larson, J.; Liu, J.; and Suchara, M. ACM Transactions on Quantum Computing, 4(4): 1–19. 2023.
Hardware-Conscious Optimization of the Quantum Toffoli Gate [link]Paper   doi   link   bibtex  
Time-Constrained Capacitated Vehicle Routing Problem in Urban E-Commerce Delivery. Cokyasar, T.; Subramanyam, A.; Larson, J.; Stinson, M.; and Sahin, O. Transportation Research Record: Journal of the Transportation Research Board, 2677(2): 190–203. oct 2023.
doi   link   bibtex   16 downloads  
libEnsemble: A complete Python toolkit for dynamic ensembles of calculations. Hudson, S.; Larson, J.; Navarro, J.; and Wild, S. M. Journal of Open Source Software, 8(92): 6031. 2023.
libEnsemble: A complete Python toolkit for dynamic ensembles of calculations [link]Paper   doi   link   bibtex  
libEnsemble. Hudson, S.; Larson, J.; Wild, S. M.; Bindel, D.; and Navarro, J. 2023.
libEnsemble [link]Paper   link   bibtex  
LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach. Smith, E.; Davis, M. G.; Larson, J.; Younis, E.; Lavrijsen, W.; and Iancu, C. ACM Transactions on Quantum Computing, 4(1). 2023.
LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach [link]Paper   doi   link   bibtex  
Optimization of transformer ratio and beam loading in plasma wakefield accelerator with a structure-exploiting algorithm. Su, Q.; Larson, J.; Dalichaouch, T.; Li, F.; An, W.; Hildebrand, L.; Zhao, Y.; Decyk, V.; Alves, E. P.; Wild, S.; and Mori, W. Physics of Plasmas, 30(5). 2023.
Optimization of transformer ratio and beam loading in plasma wakefield accelerator with a structure-exploiting algorithm [link]Paper   doi   link   bibtex  
An Empirical Quantile Estimation Approach to Nonlinear Optimization Problems with Chance Constraints. Luo, F.; and Larson, J. Under review. 2023.
An Empirical Quantile Estimation Approach to Nonlinear Optimization Problems with Chance Constraints [link]Paper   doi   link   bibtex  
Report for the ASCR Workshop on Basic Research Needs in Quantum Computing and Networking. Lougovski, P.; Parekh, O.; Broz, J.; Byrd, M.; Chapman, J. C.; Chembo, Y.; de Jong, W. A.; Figueroa, E.; Humble, T. S.; Larson, J.; Quiroz, G.; Ravi, G.; Shammah, N.; Svore, K. M.; Wu, W.; and Zeng, W. J. 2023.
Report for the ASCR Workshop on Basic Research Needs in Quantum Computing and Networking [link]Paper   doi   link   bibtex  
  2022 (13)
Characterizing Error Mitigation by Symmetry Verification in QAOA. Kakkar, A.; Larson, J.; Galda, A.; and Shaydulin, R. In IEEE International Conference on Quantum Computing and Engineering, 2022.
Characterizing Error Mitigation by Symmetry Verification in QAOA [link]Paper   doi   link   bibtex  
Optimizing frequency allocation for fixed-frequency superconducting quantum processors. Morvan, A.; Chen, L.; Larson, J.; Santiago, D. I.; and Siddiqi, I. Physical Review Research, 4(2). 2022.
Optimizing frequency allocation for fixed-frequency superconducting quantum processors [link]Paper   doi   link   bibtex  
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control. Renganathan, A.; Larson, J.; and Wild, S. M. In 2022.
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control [link]Paper   doi   link   bibtex  
Multitask optimization of laser-plasma accelerators using simulation codes with different fidelities. Ferran Pousa, A.; Jalas, S.; Kirchen, M.; Martinez de la Ossa, A.; Thévenet, M.; Hudson, S.; Larson, J.; Huebl, A.; Vay, J.; and Lehe, R. In Proceedings of the 13th International Particle Accelerator Conference, 2022.
doi   link   bibtex  
Joint Routing of Conventional and Range-Extended Electric Vehicles in a Large Metropolitan Network. Subramanyam, A.; Cokyasar, T.; Larson, J.; and Stinson, M. Transportation Research Part C: Emerging Technologies, 144: 103830. 2022.
Joint Routing of Conventional and Range-Extended Electric Vehicles in a Large Metropolitan Network [link]Paper   doi   link   bibtex   7 downloads  
Algorithm 1028: VTMOP: Solver for Blackbox Multiobjective Optimization Problems. Chang, T. H.; Watson, L. T.; Larson, J.; Neveu, N.; Thacker, W. I.; Deshpande, S.; and Lux, T. C. H. ACM Transactions on Mathematical Software, 48(3): 1–34. 2022.
doi   link   bibtex  
libEnsemble Users Manual. Hudson, S.; Larson, J.; Wild, S. M.; Bindel, D.; and Navarro, J. Technical Report Argonne National Laboratory, 2022.
libEnsemble Users Manual [pdf]Paper   link   bibtex  
Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints. Kirches, C.; Larson, J.; Leyffer, S.; and Manns, P. SIAM Journal on Optimization, 32(1): 75–99. 2022.
Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints [link]Paper   doi   link   bibtex  
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation. Luo, F.; and Larson, J. Operations Research, 70(4): 2477–2495. 2022.
A Repeated Route-then-Schedule Approach to Coordinated Vehicle Platooning: Algorithms, Valid Inequalities and Computation [link]Paper   doi   link   bibtex  
Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization. Hao, T.; Shaydulin, R.; Pistoia, M.; and Larson, J. In Third International Workshop on Quantum Computing Software (held in conjunction with SC22), 2022.
Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization [link]Paper   doi   link   bibtex  
Multiangle QAOA Does Not Always Need All Its Angles. Shi, K.; Herrman, R.; Shaydulin, R.; Chakrabarti, S.; Pistoia, M.; and Larson, J. In IEEE/ACM Symposium on Edge Computing, 2022. IEEE
Multiangle QAOA Does Not Always Need All Its Angles [link]Paper   doi   link   bibtex  
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations. Hudson, S.; Larson, J.; Navarro, J.; and Wild, S. M. IEEE Transactions on Parallel and Distributed Systems, 33(4): 977–988. 2022.
libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations [link]Paper   doi   link   bibtex  
Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. Abhinit, I.; Adams, E. K.; Alam, K.; Chase, B.; Deelman, E.; Gorenstein, L.; Hudson, S.; Islam, T.; Larson, J.; Lentner, G.; Mandal, A.; Navarro, J.; Nicolae, B.; Pouchard, L.; Ross, R.; Roy, B.; Rynge, M.; Serebrenik, A.; Vahi, K.; Wild, S.; Xin, Y.; da Silva, R. F.; and Filgueira, R. In IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS), nov 2022.
doi   link   bibtex  
  2021 (5)
Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions. Larson, J.; Menickelly, M.; and Zhou, B. SIAM Journal on Optimization, 31(4): 2638–2664. 2021.
Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions [link]Paper   doi   link   bibtex  
Standardized Low-Level Noise Characterization to Differentiate DOE Quantum Testbeds. Shaydulin, R.; Suchara, M.; and Larson, J. Quantum Computing Testbeds Stakeholder Workshop White Paper. 2021.
Standardized Low-Level Noise Characterization to Differentiate DOE Quantum Testbeds [pdf]Paper   link   bibtex  
CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations. Tang, W.; Tomesh, T.; Suchara, M.; Larson, J.; and Martonosi, M. In Proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems, pages 473–486, 2021.
CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations [link]Paper   doi   link   bibtex  
A Method for Convex Black-Box Integer Global Optimization. Larson, J.; Leyffer, S.; Palkar, P.; and Wild, S. M. Journal of Global Optimization, 80(2): 439–477. 2021.
A Method for Convex Black-Box Integer Global Optimization [link]Paper   doi   link   bibtex   6 downloads  
Wave Function Analysis with a Maximum Flow Algorithm. Shepard, R.; Brozell, S. R.; Larson, J.; Hovland, P.; and Leyffer, S. Molecular Physics, 119(13): e1861351. 2021.
Wave Function Analysis with a Maximum Flow Algorithm [link]Paper   doi   link   bibtex  
  2020 (8)
AI for an Integrated and Accelerated Scientific Method. Di, W.; Larson, J.; Leyffer, S.; and Wild, S. M. Argonne 2050. 2020.
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Optimal Assignment for the Single-Household Shared Autonomous Vehicle Problem. Cokyasar, T.; and Larson, J. Transportation Research Part B: Methodological, 141: 98–115. 2020.
Optimal Assignment for the Single-Household Shared Autonomous Vehicle Problem [link]Paper   doi   link   bibtex   1 download  
Multiobjective Optimization of the Variability of the High-Performance LINPACK Solver. Chang, T. H.; Larson, J.; and Watson, L. T. In Proceedings of the Winter Simulation Conference, pages 3081–3092, 2020.
Multiobjective Optimization of the Variability of the High-Performance LINPACK Solver [link]Paper   doi   link   bibtex  
Managing computationally expensive blackbox multiobjective optimization problems with libEnsemble. Chang, T. H.; Larson, J.; Watson, L. T.; and Lux, T. C. H. In Proceedings of the Spring Simulation Conference, 2020.
Managing computationally expensive blackbox multiobjective optimization problems with libEnsemble [link]Paper   doi   link   bibtex  
An Arc Density Maximum Flow Algorithm (poster). Shepard, R.; Brozell, S. R.; Larson, J.; Hovland, P.; and Leyffer, S. In 60th Sanibel Symposium, 2020.
An Arc Density Maximum Flow Algorithm (poster) [link]Paper   link   bibtex  
Recursive Two-Step Lookahead Expected Payoff for Time-Dependent Bayesian Optimization. Renganathan, S. A.; Larson, J.; and Wild, S. M. In 2020.
Recursive Two-Step Lookahead Expected Payoff for Time-Dependent Bayesian Optimization [link]Paper   doi   link   bibtex   2 downloads  
Solving Combinatorial Optimization Problems on Quantum Computers. Alexeev, Y.; Larson, J.; Leyffer, S.; and Shaydulin, R. SIAM News, July/August. 2020.
Solving Combinatorial Optimization Problems on Quantum Computers [link]Paper   link   bibtex  
LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach. Smith, E.; Davis, M. G.; Larson, J.; and Iancu, C. In First International Workshop on Quantum Computing Software (held in conjunction with SC20), 2020.
LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach [link]Paper   doi   link   bibtex  
  2019 (6)
A Case Study Analysis of Energy Consumption Potential of Coordinated Platooning in Urban Networks. Javanmardi, M.; Islam, E. S.; Auld, J.; and Larson, J. Proceedings of the Transportation Research Record Annual Meeting. 2019.
A Case Study Analysis of Energy Consumption Potential of Coordinated Platooning in Urban Networks [link]Paper   link   bibtex   1 download  
Comparison of Model-Based and Heuristic Optimization Algorithms Applied to Photoinjectors Using libEnsemble. Neveu, N.; Hudson, S.; Larson, J.; and Spentzouris, L. In Proceedings of the 13th International Computational Accelerator Physics Conference, pages 22–24, Jan. 2019.
Comparison of Model-Based and Heuristic Optimization Algorithms Applied to Photoinjectors Using libEnsemble [pdf]Paper   doi   link   bibtex  
Multistart Methods for Quantum Approximate Optimization. Shaydulin, R.; Safro, I.; and Larson, J. In Proceedings of the IEEE High Performance Extreme Computing Conference, 2019. \textbfBest Student Paper
Multistart Methods for Quantum Approximate Optimization [link]Paper   doi   link   bibtex  
Derivative-free optimization methods. Larson, J.; Menickelly, M.; and Wild, S. M. Acta Numerica, 28: 287–404. 2019.
Derivative-free optimization methods [link]Paper   doi   link   bibtex   4 downloads  
Design, Analysis, and Operations Toolkit (DAO-Tk). Martinek, J.; Wagner, M.; Zolan, A.; Boyd, M.; Newman, A.; Morton, D.; Leyffer, S.; and Larson, J. 2019.
Design, Analysis, and Operations Toolkit (DAO-Tk) [link]Paper   doi   link   bibtex   1 download  
SKQuant-Opt: Optimizers for Noisy Intermediate-Scale Quantum Devices. Lavrijsen, W.; Tudor, A.; Larson, J.; Sung, K. J.; Linder, L.; Mueller, J.; McClean, J. R.; Babbush, R.; Urbanek, M.; Iancu, C.; and de Jong , W. A 2019.
SKQuant-Opt: Optimizers for Noisy Intermediate-Scale Quantum Devices [link]Paper   link   bibtex  
  2018 (8)
Asynchronously Parallel Optimization Solver for Finding Multiple Minima. Larson, J.; and Wild, S. M. Mathematical Programming Computation, 10(3): 303–332. 2018.
Asynchronously Parallel Optimization Solver for Finding Multiple Minima [link]Paper   doi   link   bibtex  
Hybrid Quantum-Classical Computing Architectures. Suchara, M.; Alexeev, Y.; Chong, F.; Finkel, H.; Hoffmann, H.; Larson, J.; Osborn, J.; and Smith, G. 3rd International Workshop on Post Moore's Era Supercomputing. 2018.
Hybrid Quantum-Classical Computing Architectures [pdf]Paper   link   bibtex  
Optimization Models and Paradigms for Machine Learning. Balaprakash, P.; Larson, J.; and Leyffer, S. SciML: ASCR Scientific Machine Learning Workshop. 2018.
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Exploration vs. Exploitation: Mathematical Performance Guarantees. Balaprakash, P.; Larson, J.; and Leyffer, S. SciML: ASCR Scientific Machine Learning Workshop. 2018.
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Derivative-Free Mixed-Integer Optimization for Automated Predictive Modeling using Machine Learning. Balaprakash, P.; Larson, J.; Vishwanath, V.; and Wild, S. M. SciML: ASCR Scientific Machine Learning Workshop. 2018.
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Photoinjector Optimization Studies at the AWA. Neveu, N.; Larson, J.; Power, J.; and Spentzouris, L. In Proceedings of the 9th International Particle Accelerator Conference, pages 4169–4171, June 2018.
Photoinjector Optimization Studies at the AWA [link]Paper   doi   link   bibtex   1 download  
Coordinated platooning with multiple speeds. Luo, F.; Larson, J.; and Munson, T. Transportation Research Part C: Emerging Technologies, 90: 213–225. may 2018.
Coordinated platooning with multiple speeds [link]Paper   doi   link   bibtex  
Manifold Sampling for Optimization of Nonconvex Functions That Are Piecewise Linear Compositions of Smooth Components. Khan, K. A.; Larson, J.; and Wild, S. M. SIAM Journal on Optimization, 28(4): 3001–3024. 2018.
Manifold Sampling for Optimization of Nonconvex Functions That Are Piecewise Linear Compositions of Smooth Components [link]Paper   doi   link   bibtex  
  2017 (5)
Scheduling Double Round-Robin Tournaments with Divisional Play Using Constraint Programming. Carlsson, M.; Johansson, M.; and Larson, J. European Journal of Operational Research, 259(3): 1180–1190. jun 2017.
Scheduling Double Round-Robin Tournaments with Divisional Play Using Constraint Programming [link]Paper   doi   link   bibtex  
Maximization of Platoon Formation Through Centralized Routing and Departure Time Coordination. Sokolov, V.; Larson, J.; Munson, T.; Auld, J.; and Karbowski, D. Transportation Research Record: Journal of the Transportation Research Board, 2667(1): 10–16. jan 2017.
Maximization of Platoon Formation Through Centralized Routing and Departure Time Coordination [link]Paper   doi   link   bibtex   1 download  
The Role of Applied Mathematics in Quantum Computing: Old Can be New Again?. Buluç, A.; de Jong, W.; Lin, L.; Larson, J.; and Wild, S. M. ASCR Applied Math Meeting White Paper. 2017.
The Role of Applied Mathematics in Quantum Computing: Old Can be New Again? [link]Paper   doi   link   bibtex  
Optimizing Stochastic Simulations. Larson, J.; and Wild, S. M. ASCR Applied Math Meeting White Paper. 2017.
Optimizing Stochastic Simulations [link]Paper   doi   link   bibtex   1 download  
Photoinjector Optimization Using a Derivative-Free, Model-Based Trust-Region Algorithm for the Argonne Wakefield Accelerator. Neveu, N; Larson, J; Power, J G; and Spentzouris, L Journal of Physics: Conference Series, 874: 012062. jul 2017.
Photoinjector Optimization Using a Derivative-Free, Model-Based Trust-Region Algorithm for the Argonne Wakefield Accelerator [link]Paper   doi   link   bibtex  
  2016 (5)
Stochastic Derivative-Free Optimization using a Trust Region Framework. Larson, J.; and Billups, S. C Computational Optimization and Applications, 64(3): 619–645. 2016.
Stochastic Derivative-Free Optimization using a Trust Region Framework [link]Paper   doi   link   bibtex  
A Batch, Derivative-Free Algorithm for Finding Multiple Local Minima. Larson, J.; and Wild, S. M. Optimization and Engineering, 17(1): 205–228. mar 2016.
A Batch, Derivative-Free Algorithm for Finding Multiple Local Minima [link]Paper   doi   link   bibtex  
Manifold Sampling for $\ell_1$ Nonconvex Optimization. Larson, J.; Menickelly, M.; and Wild, S. M. SIAM Journal on Optimization, 26(4): 2540–2563. 2016.
Manifold Sampling for $\ell_1$ Nonconvex Optimization [link]Paper   doi   link   bibtex  
Origins and optimization of entanglement in plasmonically coupled quantum dots. Otten, M.; Larson, J.; Min, M.; Wild, S. M.; Pelton, M.; and Gray, S. K. Physical Review A, 94(2): 022312. Aug 2016.
Origins and optimization of entanglement in plasmonically coupled quantum dots [link]Paper   doi   link   bibtex  
Coordinated Platoon Routing in a Metropolitan Network. Larson, J.; Munson, T.; and Sokolov, V. In Gebremedhin, A. H.; Boman, E. G.; and Ucar, B., editor(s), Proceedings of the SIAM Workshop on Combinatorial Scientific Computing, pages 73–82, 2016.
Coordinated Platoon Routing in a Metropolitan Network [link]Paper   doi   link   bibtex   1 download  
  2015 (2)
The Vehicle Platooning Problem: Computational Complexity and Heuristics. Larsson, E.; Sennton, G.; and Larson, J. Transportation Research Part C: Emerging Technologies, 60: 258–277. November 2015.
The Vehicle Platooning Problem: Computational Complexity and Heuristics [link]Paper   doi   link   bibtex   1 download  
A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning. Larson, J.; Liang, K.; and Johansson, K. H IEEE Transactions on Intelligent Transportation Systems, 16(1): 419-429. feb 2015.
A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning [link]Paper   doi   link   bibtex   2 downloads  
  2014 (4)
Coordinated Route Optimization for Heavy-Duty Vehicle Platoons. Larson, J.; Kammer, C.; Liang, K.; and Johansson, K. H. In Hegyi, A.; and Schutter, B. D., editor(s), Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, pages 1196–1202, 2014.
Coordinated Route Optimization for Heavy-Duty Vehicle Platoons [link]Paper   doi   link   bibtex   1 download  
An Integrated Constraint Programming Approach to Scheduling Sports Leagues with Divisional and Round-Robin Tournaments. Larson, J.; Johansson, M.; and Carlsson, M. In Simonis, H., editor(s), Integration of AI and OR Techniques in Constraint Programming, volume 8451, of Lecture Notes in Computer Science, pages 144–158. Springer International Publishing, 2014.
An Integrated Constraint Programming Approach to Scheduling Sports Leagues with Divisional and Round-Robin Tournaments [link]Paper   doi   link   bibtex  
Constructing Schedules for Sports Leagues with Divisional and Round-Robin Tournaments. Larson, J.; and Johansson, M. Journal of Quantitative Analysis in Sports, 10(2): 119–129. January 2014.
Constructing Schedules for Sports Leagues with Divisional and Round-Robin Tournaments [link]Paper   doi   link   bibtex  
Applied Mathematics Research for Exascale Computing. Dongarra, J.; Hittinger, J.; Bell, J.; Chacón, L.; Falgout, R.; Heroux, M.; Hovland, P.; Ng, E.; Webster, C.; and Wild, S. M. 2014.
Applied Mathematics Research for Exascale Computing [link]Paper   doi   link   bibtex  
  2013 (3)
Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression. Billups, S. C; Larson, J.; and Graf, P. SIAM Journal on Optimization, 23(1): 27–53. January 2013.
Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression [link]Paper   doi   link   bibtex  
Non-intrusive Termination of Noisy Optimization. Larson, J.; and Wild, S. M. Optimization Methods and Software, 28(5): 993–1011. October 2013.
Non-intrusive Termination of Noisy Optimization [link]Paper   doi   link   bibtex  
Scheduling a Sports League with Divisional and Round-Robin Play. Larson, J.; and Johansson, M. In Goossens, D.; Spieksma, F.; and Scarf, P., editor(s), Proceedings of the 4th International Conference on Mathematics in Sport, pages 180–192, 2013. KULeuven, Faculty of Business and Economics
Scheduling a Sports League with Divisional and Round-Robin Play [pdf]Paper   link   bibtex  
  2012 (1)
To Infinity… and Beyond. Larson, J.; Jacobson, M. S.; Den Ouden, K. M.; and Basile, C. G. Mathematics Teaching in the Middle School, 17(6): 346–351. 2012.
To Infinity… and Beyond [link]Paper   doi   link   bibtex  
  2011 (1)
An Implementation of Scatter Search to Train Neural Networks for Brain Lesion Recognition. Larson, J.; and Newman, F. Involve, a Journal of Mathematics, 4(3): 203–211. December 2011.
An Implementation of Scatter Search to Train Neural Networks for Brain Lesion Recognition [link]Paper   doi   link   bibtex