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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.
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Keywords
- Discrete Optimization Modeling
- Lagrangian Models
- Linear Optimization Modeling
- Models for policy analyses
- Operations research
- Policy Analysis
- Public evaluation
- public management
- Public policy analysis
- Public systems planning
- simulation modeling
Links
DOI: 10.1007/978-3-030-93986-1Editions