Presenter(s)
Joshua R. Craven
Files
Download Project (325 KB)
Description
In this project, I use computational tools to study the bifurcations in nonlinear oscillators. Matlab is first used to determine the slow flow phase portrait of each region and the characteristics of each critical point. Next, the parameters are discretized and for each set of values we find the locations of the real critical points and the eigenvalues of the Jacobian matrix. With this knowledge, we can approximate the bifurcation diagram. These results are compared with results from preexisting software.
Publication Date
4-18-2012
Project Designation
Independent Research
Primary Advisor
Muhammad Usman
Primary Advisor's Department
Mathematics
Keywords
Stander Symposium project
Recommended Citation
"Numerical Investigation into a Computational Approximation of Bifurcation Curves" (2012). Stander Symposium Projects. 48.
https://ecommons.udayton.edu/stander_posters/48