This paper compares the deterministic and stochastic predictors of nonlinear models when the disturbances are small. Large-sample properties of these predictors have been analyzed extensively in the ...

The previous framework (left) fails to take into account noises of the brain. The brain state transitions were written as point-to-point, the dynamics as deterministic, and the control cost as the ...

In this paper, we propose a novel optimization algorithm for examination timetabling. It works by alternating two phases; one based on a stochastic local search and the other on a deterministic local ...

In engineering design, the traditional “deterministic” modelling approach assumes fixed values for loads, material properties ...