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An optimization model for the management of green areas

Authors: Patrizia Daniele; Daniele Sciacca;

An optimization model for the management of green areas

Abstract

AbstractIn this paper, we present an optimization model for the management of the green area in order to find the optimal green surface to absorb CO2 emissions of industrialized cities. We obtain a minimization problem and the related variational inequality. We study the Lagrange theory to better understand the process that regulates the possible increase in green space. Then, we propose a computational procedure, based on the Euler method, to find the optimal solution to the variational inequality associated with our minimization problem and, finally, some numerical examples based on real scenarios.

Country
Italy
Keywords

green area, Strategy and Management, 2, emissions, CO\(_2\) emissions, Management Science and Operations Research, Computer Science Applications, CO, Management of Technology and Innovation, Lagrange theory, Business and International Management, Operations research, mathematical programming, variational inequalities

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
16
Top 10%
Top 10%
Top 10%
4
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