Sentence examples for computational choices from inspiring English sources
In this paper this aspect is investigated in the framework of pushover analyses, describing the theoretical and computational choices related to the involved parameters.
The interest of computer scientists for aggregation methods is witnessed by the fact that judgment aggregation is now among the topics of computational social choice, an interdisciplinary discipline that promotes exchanges and interactions between computer science and social choice theory.
The paper discusses a number of modelling and implementation aspects including model geometry and computational domain, choice of boundary conditions, and discretisation schemes.
Given the early state of this field of research and the associated computational complexity, some choices had to be made early-on in the study, which may be improved in future work.
Biologists may be more familiar with mathematical modeling and computer scientists may be religious to their computational formalism of choice.
Our results, in combination with existing research, essentially complete the classification up to primitive recursive equivalence of those extensions of system T used to give a direct computational interpretation to choice principles.
Process calculi are rapidly establishing themselves as computational formalisms of choice for modeling molecular interactions.
Computational models of choice behavior showed that citalopram increased harm aversion for both self and others, while levodopa reduced hyperaltruism.
Hence, there is a trend of combining heterogeneous data-types to improve classification where the SVM approach is the computational method of choice.
The computational method of choice in this work was the empirical valence bond (EVB) approach, which is a semiempirical multiscale approach to describe chemical reactivity based on valence bond theory.
Although diverse mutation classes can be included and analyzed by our computational framework, the choice of these classes will largely depend on prior biological knowledge, the available experimental data and perhaps on cancer type.
