Skip to search Skip to main content
  • About Us
    Vision Our Story Technology Focus Areas Our Team
  • Access
    Policies Guides Events COVID-19 Advisory
  • Collections
    Books & Journals A-Z listing Special Collections
  • Contact Us
  1. Jio Institute Digital Library
  2. Searchworks

Searchworks

Select search scope, currently: Articles
  • Catalog
    books, media & more in Jio Institute collections
  • Articles
    journal articles & other e-resources

Help
Contact
Covid-19 Advisory
Policies
  • Bookmarks 0
  • Search history
  • Sign in

Cite

A perturbation-based approach to identifying potentially superfluous network constituents.

MLA

Bröhl, Timo, and Klaus Lehnertz. “A Perturbation-Based Approach to Identifying Potentially Superfluous Network Constituents.” Chaos, vol. 33, no. 6, June 2023, pp. 1–15. EBSCOhost, https://doi.org/10.1063/5.0152030.



APA

Bröhl, T., & Lehnertz, K. (2023). A perturbation-based approach to identifying potentially superfluous network constituents. Chaos, 33(6), 1–15. https://doi.org/10.1063/5.0152030



Chicago

Bröhl, Timo, and Klaus Lehnertz. 2023. “A Perturbation-Based Approach to Identifying Potentially Superfluous Network Constituents.” Chaos 33 (6): 1–15. doi:10.1063/5.0152030.

Contact
Covid-19 Advisory
Policies
About Us
Academics
Research
Campus Life
Contact
T&C
Privacy Policy