Direct Optimization Using Gaussian Quadrature and Continuous Runge-Kutta Methods: Application to an Innovation Diffusion Model


Conference paper


Fasma Diele, Carmela Marangi, Stefania Ragni
International Conference on Computational Science, Springer, Berlin, Heidelberg, 2004, pp. 426--433

Cite

Cite

APA   Click to copy
Diele, F., Marangi, C., & Ragni, S. (2004). Direct Optimization Using Gaussian Quadrature and Continuous Runge-Kutta Methods: Application to an Innovation Diffusion Model. In International Conference on Computational Science (pp. 426–433). Springer, Berlin, Heidelberg.


Chicago/Turabian   Click to copy
Diele, Fasma, Carmela Marangi, and Stefania Ragni. “Direct Optimization Using Gaussian Quadrature and Continuous Runge-Kutta Methods: Application to an Innovation Diffusion Model.” In International Conference on Computational Science, 426–433. Springer, Berlin, Heidelberg, 2004.


MLA   Click to copy
Diele, Fasma, et al. “Direct Optimization Using Gaussian Quadrature and Continuous Runge-Kutta Methods: Application to an Innovation Diffusion Model.” International Conference on Computational Science, Springer, Berlin, Heidelberg, 2004, pp. 426–33.


BibTeX   Click to copy

@inproceedings{diele2004a,
  title = {Direct Optimization Using Gaussian Quadrature and Continuous Runge-Kutta Methods: Application to an Innovation Diffusion Model},
  year = {2004},
  organization = {Springer, Berlin, Heidelberg},
  pages = {426--433},
  author = {Diele, Fasma and Marangi, Carmela and Ragni, Stefania},
  booktitle = {International Conference on Computational Science}
}


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