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science & technology (5) 5
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1. Full Text Obtaining lower bounds from the progressive hedging algorithm for stochastic mixed-integer programs
by Gade, Dinakar and Hackebeil, Gabriel and Ryan, Sarah M and Watson, Jean-Paul and Wets, Roger J.-B and Woodruff, David L and Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Mathematical programming, ISSN 0025-5610, 5/2016, Volume 157, Issue 1, pp. 47 - 67
Lower bounding | Mathematical Methods in Physics | Calculus of Variations and Optimal Control; Optimization | Mathematics of Computing | Numerical Analysis | Theoretical, Mathematical and Computational Physics | Stochastic mixed-integer programming | 90C15 Stochastic Programming | 90C11 Mixed Integer Programming | Mathematics | Decomposition algorithms | Combinatorics | Operations Research & Management Science | Physical Sciences | Technology | Computer Science | Computer Science, Software Engineering | Mathematics, Applied | Science & Technology | Algorithms | Studies | Operations research | Mathematical models | Mathematical programming | Lower bounds | Site selection | Computation | Mathematical analysis | Unit commitment | Stochasticity | Standards | decomposition algorithms | MATHEMATICS AND COMPUTING | stochastic mixed-integer programming | lower bounding
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2. Full Text Mixed-integer programming models for optimal constellation scheduling given cloud cover uncertainty
by Valicka, Christopher G and Garcia, Deanna and Staid, Andrea and Watson, Jean-Paul and Hackebeil, Gabriel and Rathinam, Sivakumar and Ntaimo, Lewis and Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
European journal of operational research, ISSN 0377-2217, 06/2019, Volume 275, Issue 2, pp. 431 - 445
Integer programming | Scheduling | Weather uncertainty | Remote sensing | Stochastic programming | Business & Economics | Operations Research & Management Science | Social Sciences | Management | Technology | Science & Technology | Scheduling (Management) | Usage | Methods | OTHER INSTRUMENTATION
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3. Full Text Sensor location for nonlinear dynamic systems via observability analysis and MAX-DET optimization
by Serpas, Mitch and Hackebeil, Gabriel and Laird, Carl and Hahn, Juergen
Computers & chemical engineering, ISSN 0098-1354, 01/2013, Volume 48, pp. 105 - 112
Sensor network design | State estimation | Observability | Maximize determinant | Engineering | Computer Science, Interdisciplinary Applications | Engineering, Chemical | Technology | Computer Science | Science & Technology | Sensors
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4. Full Text Explicit Water Quality Model Generation and Rapid Multiscenario Simulation
by Mann, Angelica V and Hackebeil, Gabriel A and Laird, Carl D
Journal of water resources planning and management, ISSN 0733-9496, 05/2014, Volume 140, Issue 5, pp. 666 - 677
Technical Papers | Drinking water distribution system | Water quality model | Simulation | Lagrangian method | Water Resources | Engineering | Physical Sciences | Technology | Engineering, Civil | Science & Technology | Usage | Models | Lagrangian functions | Water quality
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5. Full Text Integration of progressive hedging and dual decomposition in stochastic integer programs
by Guo, Ge and Hackebeil, Gabriel and Ryan, Sarah M and Watson, Jean-Paul and Woodruff, David L and Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Operations research letters, ISSN 0167-6377, 05/2015, Volume 43, Issue 3, pp. 311 - 316
Dual decomposition | Lower bounding | Mixed-integer programming | Progressive hedging | Stochastic programming | Operations Research & Management Science | Technology | Science & Technology | Hedging (Finance) | Algorithms | Business schools | mixed-integer programming | MATHEMATICS AND COMPUTING | dual decomposition | progressive hedging | stochastic programming | lower bounding
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6. Full Text Efficient Oblivious Data Structures for Database Services on the Cloud
by Hoang, Thang and Ozkaptan, Ceyhun D and Hackebeil, Gabriel Anton and Yavuz, Attila Altay
IEEE transactions on cloud computing, ISSN 2168-7161, 10/2018, pp. 1 - 1
Cloud computing | Privacy-enhancing Technologies | Databases | Oblivious Data Structure | Packaging | Data structures | ORAM | Encryption | Delays
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7. Full Text Pyomo Optimization Modeling in Python
by Hart, William E and Laird, Carl and Watson, Jean-Paul and Woodruff, David L
2012, Springer Optimization and Its Applications, ISBN 9781461432258, Volume 67, 280
Computer simulation | Mathematical optimization | Python (Computer program language) | Model-integrated computing
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8. Pyomo — Optimization Modeling in Python
by Hart, William E and Laird, Carl D and Watson, Jean-Paul and Woodruff, David L and Hackebeil, Gabriel A and Nicholson, Bethany L and Siirola, John D and SpringerLink (Online service)
2017, 2nd ed. 2017., Springer Optimization and Its Applications, ISBN 9783319588193, Volume 67
Computer science | Computer mathematics | Operations research | Management science | Computer simulation | Computer software | Mathematics | Mathematical optimization
Web Resource
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9. Full Text Explicit Water Quality Model Generation and Rapid Multi-Scenario Simulation
by Mann, Angelica V and Hackebeil, Gabriel A and Laird, Carl D
Journal of water resources planning and management, ISSN 0733-9496, 08/2012
Drinking water | Computer simulation | Mathematical analysis | Water quality | Water engineering | Mathematical models | Water distribution | Security
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10. Full Text Second-Order Multiplier Updates to Accelerate Admm Methods in Optimization Under Uncertainty
by Rodriguez, Jose S and Hackebeil, Gabriel and Siirola, John and Zavala, Victor M and Laird, Carl D
2019, ISBN 9780128185971, Volume 47
Decomposition | Nonlinear programming | ADMM | Augmented Lagrangian
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11. Effect of backup detection levels in P-Median formulations for optimal placement of detectors in mitigation systems
by Benavides-Serrano, Alberto and Hackebeil, Gabriel and Mannan, Sam and Laird, Carl
Computer Aided Chemical Engineering, ISSN 1570-7946, 2014, Volume 34, pp. 753 - 758
Process safety | Reliability | Detector placement | Stochastic programming
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12. Full Text A Stochastic Programming Formulation for Disinfectant Booster Station Placement to Protect Large-Scale Water Distribution Networks
by Klise, Katherine A and Seth, Arpan and Hackebeil, Gabriel A and Haxton, Terranna and Murray, Regan and Laird, Carl D and Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
INFORMS journal on computing, ISSN 1091-9856, 08/2012, Volume 31
weighted maximum coverage | optimal placement | water distribution systems | ENGINEERING
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13. Introduction
by Hart, William E and Laird, Carl D and Watson, Jean-Paul and Woodruff, David L and Hackebeil, Gabriel A and Nicholson, Bethany L and Siirola, John D
Springer optimization and its applications, ISSN 1931-6828, 2017, Volume 67, pp. 1 - 11
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14. Tailored solver for water quality simulation with merlion
by Hackebeil, Gabriel and Mann, Angelica and Laird, Carl
14th Water Distribution Systems Analysis Conference 2012, WDSA 2012, 2012, Volume 1, pp. 442 - 454
Conference Proceeding
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15. Full Text A Stochastic Programming Formulation for Disinfectant Booster Station Placement to Protect Large-Scale Water Distribution Systems
by Hackebeil, Gabriel A and Mann, Angelica V and Hart, William E and Klise, Katherine A and Laird, Carl D
2012, ISBN 9780444595058, Volume 31
weighted maximum coverage | optimal placement | water distribution systems | Water distribution systems | Optimal placement | Weighted maximum coverage
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16. Full Text Mathematical Modeling and Optimization
by Hart, William E and Laird, Carl D and Watson, Jean-Paul and Woodruff, David L and Hackebeil, Gabriel A and Nicholson, Bethany L and Siirola, John D
05/2017, Springer Optimization and Its Applications, ISBN 3319588192, Volume 67
Happiness Function | Decision Variable | Problem Instance | Nonlinear Optimization Model | Linear Expression
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17. Full Text Nonlinear Programming with Pyomo
by Hart, William E and Laird, Carl D and Watson, Jean-Paul and Woodruff, David L and Hackebeil, Gabriel A and Nicholson, Bethany L and Siirola, John D
05/2017, Springer Optimization and Its Applications, ISBN 3319588192, Volume 67
Nonlinear Programming | Continuously Stir Tank Reactor | Nonlinear Programming Problem | Outlet Concentration | Deer Population
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18. Full Text Differential Algebraic Equations
by Hart, William E and Laird, Carl D and Watson, Jean-Paul and Woodruff, David L and Hackebeil, Gabriel A and Nicholson, Bethany L and Siirola, John D
05/2017, Springer Optimization and Its Applications, ISBN 3319588192, Volume 67
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19. Full Text Pyomo Overview
by Hart, William E and Laird, Carl D and Watson, Jean-Paul and Woodruff, David L and Hackebeil, Gabriel A and Nicholson, Bethany L and Siirola, John D
05/2017, Springer Optimization and Its Applications, ISBN 3319588192, Volume 67
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20. Full Text Scripting
by Hart, William E and Laird, Carl D and Watson, Jean-Paul and Woodruff, David L and Hackebeil, Gabriel A and Nicholson, Bethany L and Siirola, John D
05/2017, Springer Optimization and Its Applications, ISBN 9783319588193
Python Script | Shell Solver | Solver Output | Solver Status | Result Object
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