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
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
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
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.


Share