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In essence this work swaps the roles of the dimensions space and time in standard POD methods, with angle and space respectively.
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The main features of these nanostructures, such as their composition, morphology, dimensions, spacing, and order are of primary significance for the chemical, mechanical, optical, and electromagnetic properties exhibited [22, 23].
But in this dream dimension, space and time are suspended, and only her spirit is free.
Of course, our approach is a generalization also, but it is a generalization on dimension space, and the principal difference is that we do not divide the cone, and it is treated as an emergent thing.
However, the existence of a homoclinic or heteroclinic orbit in high dimension space and how to construct such an orbit are themselves open in general in the qualitative analysis (geometric method) theory [8 10].
This consists in defining an implicit mapping of the original features into a higher dimension space and looking for a linear function f in that transformed space.
Dimensional stacking consists in visualizing a high-dimensional data set in a two-dimension space, and has been recently applied to the analysis of the electrical behavior of databases of realistic neuron models (Taylor, J. Neurophysiol. 2006).
Here, we identify the genomic variability underlying this remarkable persistence across the three major niche dimensions space, time, and habitat.
Here, we employ this approach for the data-driven discovery of genomic elements that structure V. cholerae across the niche dimensions space, time, and habitat.
Here, we investigate how the versatile phenotype of V. cholerae, a bacterium that persists across the three major niche dimensions space, time, and habitat, is reflected in its genome.
The problems are set in infinite dimension spaces, and the approximate problems are derived in finite dimension spaces.
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