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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
Daniel P. Loucks
Ch Chapter 10 Solving Models Using Calculus
Daniel P. Loucks
Ch Chapter 11 Lagrangian Models
Daniel P. Loucks
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
Daniel P. Loucks
Ch Chapter 9 Some Linearization Methods
Daniel P. Loucks

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DOI: 10.1007/978-3-030-93986-1

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