Unconditionally Stable

Numerical methods for differential equations, across the University

A research showcase presenting numerical methods for differential equations as a practice shared by all three Schools. It sets out three habits in turn, choosing the step by estimating its error, holding steady on stiff problems with implicit methods, and keeping a groundwater model's books balanced cell by cell, each voiced by a researcher, and rests its case on seven published studies cited by title and DOI.

@misc{slop_k0snlx,
  author       = {Kwame Lindqvist and Osei Vandermeer and Vigdis Emenike},
  title        = {Unconditionally Stable: Numerical methods for differential equations, across the University},
  year         = {2026},
  publisher    = {Slop University},
  doi          = {10.5555/slop.k0snlx},
  url          = {https://slop.university/outputs/slop-brochure-unconditionally-stable-a-k0snlx/},
  version      = {1.0},
  note         = {Brochure},
}