Team:Tianjin/Modeling/Propagation
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<br><center><span style="font-size:46px;font-family:Cambria;margin-top:10px;line-height:80%">Modeling of the Optimum Beginning Time of Public Service Advertising on Genetic Pollution</span></center> | <br><center><span style="font-size:46px;font-family:Cambria;margin-top:10px;line-height:80%">Modeling of the Optimum Beginning Time of Public Service Advertising on Genetic Pollution</span></center> | ||
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+ | '''Abstract:''' This section focus on how the genetic pollution been made aware by the public and the function of public service advertising (PSA) on accelerating the awareness process. Our model is based on the ordinary differential equations to describe how basic knowledge and the potential effects of genetic pollution been propagated through the public. During the analysis the model, the relationship between the propagation speed and the amount of social welfare brought about by PSA is very helpful. We conclude from the model the different optimum beginning time of PSA for different initial propagating speed which is directly related to the problem itself. In addition, we also evaluate the strength and weakness of the model and look into the future work putting forward some accessing methods. | ||
=Restatement of Our Modeling Task= | =Restatement of Our Modeling Task= | ||
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Revision as of 03:09, 25 September 2012
Abstract: This section focus on how the genetic pollution been made aware by the public and the function of public service advertising (PSA) on accelerating the awareness process. Our model is based on the ordinary differential equations to describe how basic knowledge and the potential effects of genetic pollution been propagated through the public. During the analysis the model, the relationship between the propagation speed and the amount of social welfare brought about by PSA is very helpful. We conclude from the model the different optimum beginning time of PSA for different initial propagating speed which is directly related to the problem itself. In addition, we also evaluate the strength and weakness of the model and look into the future work putting forward some accessing methods.
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