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Let υ be a vector with all components 1.
Let y I ( k ) be a vector with components ( y i ( k ) ) 2, i ∈ I ( x ∗ ).
Let ({u,v in mathbb{K}^{n}}), v be a vector with distinct components and ({1 le p leinfty}).
It is then possible to specify vector b in representation (3) to be a vector with exclusively positive real entries, i.e. (b in mathbb {R}_^{k}).
(d) The reconstruction results of 1-cluster-intensity-based CS, after aligning 96 × 128 pixels of the image to be a vector with 12,288 entries, and (e) the reconstructing results of conventional CS, after aligning 96×128 pixels of the image to be a vector with 12,288 entries.
Let the antinorm ball and sphere K and S, respectively, be formally defined as in the preceding example but with p∈ 0,1], and let a still be a vector with positive components. Then the S-generalized surface content measure (mathfrak {O}_{S} ) satisfies representation (2).
Similar(47)
This is a vector with 1 in the position of the variable that you chose.
A null vector is a vector with norm zero, and in a Euclidean space such a vector would have to be the zero vector that could not be used to denote a great variety of points.
where is an vector and is a vector with all elements equal to zero.
D is a vector with the size of 28.
B is a vector with the size of 20.
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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