Public Systems Modeling
Daniel P. Loucks ()
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Daniel P. Loucks: Cornell University
in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier
Date: 2022
ISBN: 978-3-030-93986-1
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Chapters in this book:
- Ch Chapter 1 Analyzing Public Policy Decisions
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- Ch Chapter 10 Solving Models Using Calculus
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- Ch Chapter 11 Lagrangian Models
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- Ch Chapter 12 Dealing with Uncertainty
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- Ch Chapter 13 Modeling Stochastic Processes
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- Ch Chapter 14 Chance Constrained and Monte Carlo Modeling
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- Ch Chapter 15 Simulation Modeling
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- Ch Chapter 16 Multi-criteria Analyses
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- Ch Chapter 17 Fuzzy Optimization
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- Ch Chapter 18 Conclusion
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- Ch Chapter 2 Public Sector Systems
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- Ch Chapter 3 Creating Models
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- Ch Chapter 4 Modeling Examples and Solutions
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- Ch Chapter 5 Models for Managing Money
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- Ch Chapter 6 Solving Models Using Excel
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- Ch Chapter 7 Discrete Optimization Modeling
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- Ch Chapter 8 Linear Optimization Modeling
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- Ch Chapter 9 Some Linearization Methods
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-3-030-93986-1
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DOI: 10.1007/978-3-030-93986-1
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