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The sensitivities of objective and constraints were calculated by using the strain vectors, which is a more general method than using element stiffness matrices and allows extracting local displacements from the commercial finite element code.
where the first term s[i]s H [i] is a positive matrix and the rest of the terms denotes the multiplication of the equivalent channel vectors which is a positive-definite matrix and the problem is convex.
This analytical expression enables the accurate and quantitative evaluation of the effect of the number of BS antennas, signal-to-noise ratio (SNR), and the crosstalk (squared inner product between different steering vectors) which is a function of the angles of departure (AoD) of users and the inter-antenna spacing.
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In this paper, we offer a framework to compute concept vectors, which is an attribute-based semantic representation, in a vector space whose distance metric is defined by the similarity values of words.
Linear classifier defined in feature space by f (x ) = 〈 w, K (x ) 〉 + b w = ∑ i = 1 N y i α i K (x i ) where sign f(x) gives prediction, w gives vectors which are a combination of weights α i and labels yi of the feature vectors x i.
The LLDC method adopts feature extraction-coding-pooling framework based on local distance vector which is a modification of the distance vector.
In addition to this, rotations, zooms, and different intrinsic parameters are difficult to model using a motion vector, which is a simple translational model.
The method of overlap extension PCR cloning was used to subclone the protein gene into the vector which is a simple and reliable way to create recombinant plasmids.
The vector, which is a modified version of the commercially available expression vector, pET-32a, contains an N-terminal thioredoxin fusion protein and a hexahistidine tag, and is adapted to the Gateway expression system.
Let w → ( s ) = ( w 1 ( s ), w 2 ( s ), w 3 ( s ) ) be spacelike (or timelike) vector which is a differentiable function with respect to s ∈ R, a vector-valued function.
If the password is the weight of the vector (which is a special case of our construction), then the probability of the correct guess is very small for most of the vectors.
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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