Understanding dynamics in complex systems is challenging because there a...
Extreme weather events have significant consequences, dominating the imp...
We introduce an ensemble Markov chain Monte Carlo approach to sampling f...
Traditional numerical methods for calculating matrix eigenvalues are
pro...
The shortest-path, commute time, and diffusion distances on undirected g...
Dynamical spectral estimation is a well-established numerical approach f...
In this work, cascading transmission line failures are studied through a...
Direct computer simulation of intense tropical cyclones (TCs) in weather...
For large-scale power networks, the failure of particular transmission l...
Monte Carlo sampling techniques have broad applications in machine learn...
We describe parallel Markov chain Monte Carlo methods that propagate a
c...