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We consider a basic version of this problem here: given a vector space of sparse real matrices, does it contain a stable (Hurwitz) matrix?
We provide in this paper a set of necessary conditions and a set of sufficient conditions for the existence of stable matrices in a vector space of sparse matrices.
The set Ω k of all k-forms is a vector space of dimension v k.
Thereby minutiae are mapped to a vector space of real coefficients which are decorrelated using PCA.
In particular, the subspace lattice of a vector space (of dimension greater than 1) is not distributive.
(mathcal {H}_{K}) is a vector space of functions with a certain (and convenient) inner product.
Similar(42)
The concept of vector space will first be explained by describing two particular examples: The first example of a vector space consists of arrows in a fixed plane, starting at one fixed point.
A vector space composed of all the -tuples of a field is known as a coordinate space, usually denoted.
In Fig. 3, we demonstrate an example of transforming an abstract into a vector space representation of each sentence, by using the above normalization process.
Well, what's a vector space first of all?
In this paper we adapt scalable statistical techniques to perform this summarization under a predictive framework using a vector space model of documents.
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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