The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

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 ...

Blacksburg, Va. – Yang Cao, an assistant professor in the computer science department at Virginia Tech's College of Engineering, has won a $550,000 National Science Foundation Faculty Early Career ...

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 ...