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In particular, an n × m matrix X of the set A{1} is called a g-inverse of A and denoted by A(1).
Here, the signal is decomposed by passing through high pass filters and low pass filters to obtain low frequency content (known as approximation and denoted by A) and high frequency content (called details and denoted as D) respectively as shown in Fig. 9.
However, in this article, the reflection factor of all reflections is assumed to be the same and denoted by a.
However, in this paper, the reflection factor of all reflections is assumed to be the same and denoted by a.
Let A ∈ C m × n, then X is called the pseudoinverse of A and denoted by A †.
Each road is identified with an undirected link connecting a node (i in N) to a different node (j in N) and denoted by a pair ((i,j) in A).
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Their replicator consists of two ligases (denoted by E and each eacomposedsed of two substrates (denoted by A and B, and andand B', respectively).
The network consists of two genes denoted by A and B. The states of gene A and gene B are given in Table 1.
Then b is called the quadratfrei of a and denoted by Q ( a ).
The convex hull of A is defined by the smallest convex subset of E containing A and denoted by (operatorname{conv}(A)).
X A = {X t, t ∈ A} is a stochastic process indexed by a set A, and denoted by |A| the number of vertices of A, x A is the realization of X A. Let ( Ω, F ) be a measure space, {X t, t∈T} be a collection of random variables defined on ( Ω, F ) and taking values in G = {0,1,..., b - 1}, where b is a positive integer.
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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