1 Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran 2 School of Engineering and Energy, Murdoch University, Perth, WA, Australia Optimal energy hub scheduling ...
Abstract: Addressing chance constraints in stochastic model predictive control (MPC) poses a significant challenge, especially in investigating recursive feasibility in the closed-loop system. We ...
Conducting Monte Carlo simulation of stochastic models (GBM, Merton Jump Diffusion Model) for the forecasting of stock positions. Serves as a "prelude" to the heston repository. Quantification of risk ...
*Stochastic Modelling of Vector-Borne Diseases with Household Structures* Thesis submitted for the degree of Honours of Mathematical Sciences in Applied Mathematics at The University of Adelaide.
In this valuable study, the authors present findings that suggest that people do not faithfully replicate the physics of the real world but rather have a stochastic world model, specifically a ...
If a new pathogen causes a large epidemic, then it might “burn out” before causing a second epidemic. The burnout probability can be estimated from large numbers of computationally intensive ...
The use of feasible 3-D numerical methods has become essential for addressing problems related to rockfall hazard. Although several models with various degrees of complexity are available, certain ...