Sentence examples for by modelling the problem from inspiring English sources
By modelling the problem with a 48-hour time horizon, (Zhao & Davison [2009b]) assume that, while the form of the stochastic model governing the future inflows is known, the actual inflows are unknown.
The development of the algorithms begins by modeling the problem data as a bipartite graph Gb of documents and words (see Figure 1).
Firstly, by modelling the scheduling problem as an SMDP, the entire scheduling process is divided into a series of stages.
This sharpness metric is derived by modelling the image sharpness problem as a generalized eigenvalues problem.
These guys approach the problem by modelling the future evolution of cellular networks and terrestrial TV broadcasting in Sweden.
Furthermore, to handle reads of length greater than 15, we propose to take advantage of recent advances in the field of logical reasoning, by modeling the haplotype problem as an MaxSAT problem.
Previous work has addressed this problem by modelling the potential values of uncertain parameters as probability distribution functions, and estimating the robustness of the system using Monte Carlo-based methods.
Computer-aided stochastic simulations of thermal spray processes try to overcome these problems by modelling the coating build-up on a per-droplet basis, and by deriving the properties of interest from the generated structure afterwards.
In this paper, the possibility of existing more than one supplier in the smart grid is addressed by modeling the DSM problem as two non-cooperative games: the supplier side game, and the customer side game.
This approximation will be used in the sequel with parameters which are fitted according to (1) and (2).2 This deviation from the exact binomial distribution is motivated by the fact that it facilitates the contract analysis by modeling the decision problem with continuous instead of discrete variables so that general analytic results with closed-form expressions can be derived.
As in our problem the investors are encountered with high degree of uncertainty, we empowered our model by possibility theory and modeled the problem by fuzzy multi-level mixed integer linear programming.
