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Public systems modeling = methods fo...
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Loucks, Daniel P.
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Public systems modeling = methods for identifying and evaluating alternative plans and policies /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Public systems modeling/ by Daniel P. Loucks.
其他題名:
methods for identifying and evaluating alternative plans and policies /
作者:
Loucks, Daniel P.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
x, 328 p. :ill. (some col.), digital ;24 cm.
內容註:
1. Analyzing Public Policy Decisions -- 2. Public Sector Systems -- 3. Creating Models -- 4. Modeling Examples and Solutions -- 5. Models for Managing Money -- 6. Solving Models Using Excel -- 7. Discrete Optimization Modeling -- 8. Linear Optimization Modeling -- 9. Some Linearization Methods -- 10. Solving Models Using Calculus -- 11. Lagrangian Models -- 12. Dealing with Uncertainty -- 13. Modeling Stochastic Processes -- 14. Chance Constrained and Monte Carlo Modeling -- 15. Simulation Modeling -- 16. Multi Criteria Analyses -- 17. Fuzzy Optimization -- 18. Conclusions.
Contained By:
Springer Nature eBook
標題:
Public administration. -
電子資源:
https://doi.org/10.1007/978-3-030-93986-1
ISBN:
9783030939861
Public systems modeling = methods for identifying and evaluating alternative plans and policies /
Loucks, Daniel P.
Public systems modeling
methods for identifying and evaluating alternative plans and policies /[electronic resource] :by Daniel P. Loucks. - Cham :Springer International Publishing :2022. - x, 328 p. :ill. (some col.), digital ;24 cm. - International series in operations research & management science,v. 33182214-7934 ;. - International series in operations research & management science ;v. 318..
1. Analyzing Public Policy Decisions -- 2. Public Sector Systems -- 3. Creating Models -- 4. Modeling Examples and Solutions -- 5. Models for Managing Money -- 6. Solving Models Using Excel -- 7. Discrete Optimization Modeling -- 8. Linear Optimization Modeling -- 9. Some Linearization Methods -- 10. Solving Models Using Calculus -- 11. Lagrangian Models -- 12. Dealing with Uncertainty -- 13. Modeling Stochastic Processes -- 14. Chance Constrained and Monte Carlo Modeling -- 15. Simulation Modeling -- 16. Multi Criteria Analyses -- 17. Fuzzy Optimization -- 18. Conclusions.
Open access.
This is an open access book discusses readers to various methods of modeling plans and policies that address public sector issues and problems. Written for public policy and social sciences students at the upper undergraduate and graduate level, as well as public sector decision-makers, it demonstrates and compares the development and use of various deterministic and probabilistic optimization and simulation modeling methods for analyzing planning and management issues. These modeling tools offer a means of identifying and evaluating alternative plans and policies based on their physical, economic, environmental, and social impacts. Learning how to develop and use the mathematical modeling tools introduced in this book will give students useful skills when in positions of having to make informed public policy recommendations or decisions.
ISBN: 9783030939861
Standard No.: 10.1007/978-3-030-93986-1doiSubjects--Topical Terms:
531287
Public administration.
LC Class. No.: JF1351
Dewey Class. No.: 351
Public systems modeling = methods for identifying and evaluating alternative plans and policies /
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1. Analyzing Public Policy Decisions -- 2. Public Sector Systems -- 3. Creating Models -- 4. Modeling Examples and Solutions -- 5. Models for Managing Money -- 6. Solving Models Using Excel -- 7. Discrete Optimization Modeling -- 8. Linear Optimization Modeling -- 9. Some Linearization Methods -- 10. Solving Models Using Calculus -- 11. Lagrangian Models -- 12. Dealing with Uncertainty -- 13. Modeling Stochastic Processes -- 14. Chance Constrained and Monte Carlo Modeling -- 15. Simulation Modeling -- 16. Multi Criteria Analyses -- 17. Fuzzy Optimization -- 18. Conclusions.
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