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In general, there is a trade-off between computational generality and computational efficiency.
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Here we focus on characterizing the computational generality of modular imperative agent-based modeling.
Computational Neuroscience: What is the difference between Computational neuroscience and Systems neuroscience?
Figure 5 Comparison between computational results and analytical model.
The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences.
Eventually these chips run into the memory wall, or, the widening gap between computational and memory throughput.
This is achieved using a novel shape parameterization scheme based on B-splines which represents a compromise between shape generality and the multitude of shape variables.
We believe that galled networks provide a good trade-off between level of generality and ease of practical computability.
This paper will use the design of Heuristic DENDRAL and its performance on different problems for a discussion of the following topics: l. the design for generality; 2. the performance problems attendent upon too much generality 3. the coupling of expertise to the general problem solving processes, 4. the symbiotic relationship between generality and expertnness of problem solving systems.
Results: In this article, we argue that galled networks (a generalization of galled trees) provide a good trade-off between level of generality and tractability.
The results show an interplay between generality and specificity in aesthetic word usage.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com