Sentence examples for uncertain space from inspiring English sources

The phrase "uncertain space" is grammatically correct and can be used in written English
It can be used to describe a physical space or a metaphorical space that is unsure or not clearly defined. Example: The astronaut entered the uncertain space between galaxies, not knowing what dangers or discoveries awaited her. In this example, "uncertain space" refers to the unknown area between two galaxies. Another example could be: The ending of the book left the readers in an uncertain space, unsure of the fate of the main character.

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The uncertain space between prose and poetry, between self-love and love of another – all this brings me back to this rather lonely summer and to questions I still don't have the answers to.

To handle this distance computation issue in uncertain space, Voronoi diagrams have been introduced by [46, 47].

The proposed approach provides information about variation of the optimal objective and optimal design configuration over the entire uncertain space.

Ghezavati and Saidi-Mehrabad (2010) proposed a mathematical model for the CM problem integrated with group scheduling in an uncertain space.

Uniformly distributed samples are generated for truncated random variables in the supported intervals and design variables in the specified intervals to approximate cover the entire uncertain space fully.

Cumulative probability curves are constructed to assess the financial risk related to uncertain space for different standard deviations of expected mean values.

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Latin Hypercube Design (LHD) is applied to achieve a set of sampling points both in the design and uncertain spaces for calibrating the Kriging surrogate model.

David Lynch has his characters disappearing into other rooms, corridors, uncertain spaces bathed in mysterious and sometimes disturbing light as if they are dissipating into some kind of half-lit gloaming rather than simply walking out of shot.

To overcome this problem, an approach based on spatial discretization is adopted to provide an equivalent uncertain state space which describes accurately the original model.

Moreover, this method delimits an uncertain decision space by specifying uncertainties through dimensional enlargement of the original fuzzy constraints, and thus enhances the robustness of the optimization process.

Furthermore, the uncertain decision space has been delimited through dimensional enlargement of the original fuzzy constraints, leading to enhanced robustness for the optimization process.

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