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Applied Linear Programming: For the Socioeconomic and Environmental Sciences

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by Michael R. Greenberg
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Applied Linear Programming: For the Socioeconomic and Environmental Sciences by Michael R. Greenberg

Applied Linear Programming for the Socioeconomic and Environmental Sciences discusses applications of linear and related programming to help in the transformation of the student or reader from book learning to computer use. The author reviews the theory, methods and applications of linear programming. The author also presents some programming codes that can be used in solving linear programming problems. He describes processes such as parametric programming, sensitivity analysis, and postoptimal analysis. The author lists five possible applications of linear programming, as follows: 1) estimates involving supply of and demand for services; 2) transport and schedule planning; 3) scale, technologies, and optimal site selection; (4) evaluation of impact of activates; and 5) evaluation of alternative options. The author cites a case study of solid-waste management in New Jersey that is common to other areas: availability of disposal sites, increasing amounts of garbage, and stricter environmental regulations. This book can be appreciated by environmentalist, sociologists, economists, civil engineers, and students and professors of advance mathematics and linear programming.

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Ebook Details
Pages: 346
Size: 32.8 MB
Publisher: Academic Press
Date published:   2013
ISBN: 9781483273747 (DRM-PDF)

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This product is listed in the following category:

Nonfiction > Science > Environmental Science

This author has products in the following categories:

Nonfiction > Science > Environmental Science
Nonfiction > Social Science > Human Geography
Nonfiction > Business & Economics > Development > Sustainable Development
Nonfiction > Business & Economics > Green Business
Nonfiction > Business & Economics > Development > Economic Development
Nonfiction > Political Science > Public Policy > Environmental Policy
Nonfiction > Language Arts & Disciplines > Journalism

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