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    Springer Nature | Springer International Publishing
    Publication Date: 2022-07-14
    Description: 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.
    Keywords: Public systems planning ; Public management ; Operations research ; Models for policy analyses ; Public evaluation ; Policy Analysis ; Public policy analysis ; Linear Optimization Modeling ; Discrete Optimization Modeling ; Lagrangian Models ; Simulation Modeling ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPP Public administration ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJT Operational research ; bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBU Optimization ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCA Economic theory & philosophy
    Language: English
    Format: image/jpeg
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