2010-Singh, Amritbir and Ravi Kant Mishra - A mathematical modeling approach to study growth rate of grassroots technological innovations

By Brian Winkel

SIMIODE, Chardon OH USA

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Abstract

Singh, Amritbir and Ravi Kant Mishra. 2010. A mathematical modeling approach to study growth rate of grassroots technological innovations. IJRRAS 3(2): 177-183.

See https://www.arpapress.com/Volumes/Vol3Issue2/IJRRAS_3_2_07.pdf .

Abstract: In this paper we have proposed a simple mathematical model by using ordinary differential equation to know the
spread rate of technological innovations in rural India. In support of model the data related to technological
innovations in the state Punjab (India) has been collected and analysed graphically/mathematically. The outcomesverified the Sigmoid pattern growth (exponential, linear & asymptotic).

Keywords: Ordinary differential equations, technological innovations, mathematical modelingrified the Sigmoid pattern growth (exponential, linear & asymptotic).

There are a good number of data sets for illustration of the fitting efforts.

Cite this work

Researchers should cite this work as follows:

  • Brian Winkel (2020), "2010-Singh, Amritbir and Ravi Kant Mishra - A mathematical modeling approach to study growth rate of grassroots technological innovations," https://simiode.org/resources/7097.

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