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The phrase "abstraction in order to" is correct and usable in written English.
It can be used when explaining the purpose of creating an abstraction, often in contexts related to programming, design, or theoretical discussions.
Example: "The team developed an abstraction in order to simplify the complex system and make it more manageable."
Alternatives: "abstraction for the purpose of" or "abstraction to achieve".
Exact(13)
Thus, we propose to alternate controller design, closed-loop composition and abstraction in order to construct a hierarchical control system.
We propose to increase the level of abstraction in order to help developers of reconfigurable accelerators deal with these three key issues.
In this paper, we discuss how to model a process landscape at different levels of abstraction in order to do some static analysis.
The high degree of certainly in the result creates the absoluteness of the qualitative conclusion, which can then be fed up or down one level of abstraction in order to take part in the local decision making at that level.
User profiles have to summarize categories corresponding to diverse user information interests at different levels of abstraction in order to allow agents to decide on the relevance of new pieces of information.
At first, it presents the analysis and classification of the overall system requirements, at high level of abstraction, in order to relate them with the semantics of the MARTE profile.
Similar(47)
The young Jacobs also held long imaginary conversations with the Founding Fathers, dismissing Jefferson's abstractions in order to talk to the more practical-minded Ben Franklin, who "was interested in nitty-gritty, down-to-earth details, such as why the alley we were walking through wasn't paved, and who would pave it," as she recounted to an interviewer.
In [28] the authors introduce an extensible programming framework that unifies the WSN programming abstractions in order to facilitate business processes orchestration with WSN.
In these areas, descriptive categories have had to be converted into mathematical formalizations and abstractions in order to make them explicit and machine friendly (cf. Henrici 1981; Matthiessen and Bateman 1991; Fawcett et al. 1993; O'Donnell and Bateman 2005).
The engines behind the two knowledge spectrum forces are the knowledge processors, natural or artificial entities able to create abstractions from data and to instantiate abstractions in order to fit reality.
I will discuss the property required of the abstraction scheme in order to achieve convergence and termination of our technique.
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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