TY - UNPB
T1 - simlandr
T2 - Simulation-Based Landscape Construction for Dynamical Systems
AU - Cui, Jingmeng
AU - Olthof, Merlijn
AU - Lichtwarck-Aschoff, Anna
AU - Li, Tiejun
AU - Hasselman, Fred
PY - 2021/12/9
Y1 - 2021/12/9
N2 - We present the simlandr package for R, which provides a set of tools for constructing potential landscapes for dynamic systems using Monte Carlo simulation. Potential landscapes can be used to quantify the stability of system states. While the canonical form of a potential function is defined for gradient systems, generalized potential functions can also be defined for non-gradient dynamical systems. Our method is based on the potential landscape definition by Wang, Xu, and Wang (2008), and can be used for a large variety of models. Using two multistable dynamical systems as examples, we illustrate how simlandr can be used for model simulation, landscape construction, and barrier height calculation.
AB - We present the simlandr package for R, which provides a set of tools for constructing potential landscapes for dynamic systems using Monte Carlo simulation. Potential landscapes can be used to quantify the stability of system states. While the canonical form of a potential function is defined for gradient systems, generalized potential functions can also be defined for non-gradient dynamical systems. Our method is based on the potential landscape definition by Wang, Xu, and Wang (2008), and can be used for a large variety of models. Using two multistable dynamical systems as examples, we illustrate how simlandr can be used for model simulation, landscape construction, and barrier height calculation.
U2 - 10.31234/osf.io/pzva3
DO - 10.31234/osf.io/pzva3
M3 - Preprint
BT - simlandr
PB - PsyArXiv Preprints
ER -