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A state x in a Hopfield network on n nodes represents a simple undirected graph G on v vertices by interpreting a binary entry (x_{e}) in x as indicating whether edge e is in G ((x_{e} = 1)) or not ((x_{e} = 0)).
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Each binary entry in this matrix indicates whether a given gene exhibits a significantly different DNAm and mRNA level (assuming anti-correlation between the two) from the corresponding normal tissue.
They start with a network encoded by its corresponding adjacency matrix A = [ a ij] which is a symmetric with binary entries.
In Binary PSO (BPSO), a group of birds consists a matrix with binary entries, control the presence ('1′) or the absence ('0′) of nano rod in the array.
In BTLBO, a group of learner consists a matrix with binary entries; control the presence ('1') or the absence ('0') of nano particles in the array.
BPSO, a group of birds including a matrix with binary entries responsible for controlling nano disks in the array, shows the presence with symbol of ('1') and the absence with ('0'0.
BPSO algorithm, a swarm of birds including a matrix with binary entries responsible for controlling nano-bi-domes in the array, shows the presence with symbol of ('1') and the absence with ('0'0.
In binary TLBO (BTLBO), a group of learners consisting of a matrix with binary entries controls the presence ('1') or the absence ('0') of nano tubes in the array.
entries, e.g., Gaussian or binary entries, exhibit a very low coherence with any fixed sparse matrix Ψ[13], we take the Gaussian matrix as the measurement matrix.
The sampling matrix Φ is found using a bipartite graph which consists of binary entries, i.e., entries that are either 1 or 0. Binary search methods are then used to find an unknown k-sparse vector s ∈ R n, see, e.g., [84, 94 100] and the references therein.
Furthermore, Π ar is a matrix of the size of |A| × |R| with binary entries: Π ar = 1 if traffic volume on a ∊ A entails any trips pertaining to r ∊ R and Π ar = 0 otherwise.
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