Public Systems Modeling
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 demonstra...
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| Materialtyp: | Online |
| Språk: | engelska |
| Utgiven: |
Springer Nature
2022
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| Ämnen: | |
| Länkar: | ONIX_20220713_9783030939861_52 |
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Inga taggar, Lägg till första taggen!
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| _version_ | 1869531595230150656 |
|---|---|
| author | Loucks, Daniel P. |
| author_browse | Loucks, Daniel P. |
| author_facet | Loucks, Daniel P. |
| author_sort | Loucks, Daniel P. |
| collection | Directory of Open Access Books |
| 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. |
| format | Online |
| id | doab-20.500.12854ir-87695 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-876952025-03-15T09:25:33Z Public Systems Modeling Loucks, Daniel P. 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 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. 2022-07-14T04:01:31Z 2022-07-14T04:01:31Z 2022-07-13T12:28:11Z 2022 book ONIX_20220713_9783030939861_52 OCN: 1331436883 https://library.oapen.org/handle/20.500.12657/57381 9783030939861 https://directory.doabooks.org/handle/20.500.12854/87695 eng International Series in Operations Research & Management Science open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/57381/1/978-3-030-93986-1.pdf https://library.oapen.org/bitstream/20.500.12657/57381/1/978-3-030-93986-1.pdf https://library.oapen.org/bitstream/20.500.12657/57381/1/978-3-030-93986-1.pdf Springer Nature Springer International Publishing 10.1007/978-3-030-93986-1 10.1007/978-3-030-93986-1 9fa3421d-f917-4153-b9ab-fc337c396b5a 9783030939861 Springer International Publishing 328 Cham open access |
| spellingShingle | 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 Loucks, Daniel P. Public Systems Modeling |
| title | Public Systems Modeling |
| title_full | Public Systems Modeling |
| title_fullStr | Public Systems Modeling |
| title_full_unstemmed | Public Systems Modeling |
| title_short | Public Systems Modeling |
| title_sort | public systems modeling |
| topic | 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 |
| topic_facet | 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 |
| url | ONIX_20220713_9783030939861_52 |
| work_keys_str_mv | AT loucksdanielp publicsystemsmodeling |