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We will use the matrix norm: (1.3).
We will use the matrix ℋ of code length between all possible endpoints to find the optimal delineation 𝒬* that minimizes ℋ using a one-dimensional dynamic program.
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In Section 3, we will use the Poincaré matrixes and fundamental matrix solutions to give the formula of the Green functions of the periodic solution problem (1.2).
In the following, we will use the linearization matrix to discuss the local stability of equilibrium.
Since one of our aims in this paper is to solve FDEs under different types of local and non-local boundary conditions, we have to face some complicated situations, so to handle these situations we will use the operational matrix developed in the next theorem.
In this article, we will use the transition rate matrix Λ of the Markov chain ({J tau^_{x}), xgeq0}), which is defined as mathbb{P}bigl[Jbigl tau^_{x}bigr)=j| J 0)=ibigr]=bigl( mathrm{e}^{Lambda x}bigr)_{ijin E}.
We have calculated the similarity score for a pair of proteins, using the local alignment, and we will use the BLOSUM62 score matrix.
We will use the term 'pseudoharzianum matrix' to specify them along with hypothetical phylogenetic species throughout the rest of the paper.
In assessing the efficiency of the proposed recursion, we will use the following assumptions: Matrix-vector product: the computation of Ax where and requires operations.
Consider the set of three diseases and its characteristic symptoms shown in Figure 2. The first task is to codify the sets of signs and diseases with orthogonal vectors, for which we will use the following orthogonal matrices.
This work will use the position-specific scoring matrix (PSSM) generated by PSI-BLAST as the input of our CNF model.
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