... function models was proposed. Here, this metric is evolved to include the information contained in the connections between flows and functions in a function model. The first approach is based on uniform unconditional probability of a flow connecting any two functions within the model. The second approach...

... intervention. The controlling parameters are identified: the choice of probability distribution, the skewness of the probability distribution, the intervention interval, and the effectiveness of individual interventions. To the extent that closed-form solutions are available (e.g., for uniform or triangular...

...Ashis Gopal Banerjee; Arvind Balijepalli; Satyandra K. Gupta; Thomas W. LeBrun This paper presents a radial basis function based approach to generate simplified models to estimate the trapping probability in optical trapping experiments using offline simulations. The difference form of Langevin’s...

... the experiment organizer to use these expert opinions to guide decisions on the planning of group screening experiments. The new group screening algorithms implemented within the software give probability distributions and indications of the total resource needed for the experiment. In addition, the algorithms...