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That is to say, we are using an integer vector V=[V 0,V 1,Λ,V i,Λ,V p−1] (where p is the number of decision variables, and in our case, it is 12: the number of jobs) to represent a solution which is a natural number and acts as a pointer to the sequence of the cluster to which the job is assigned to execute.
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We use an integer vector to represent the ultimate job scheduling scheme, S i indicates that the job i is assigned to the cluster S i, where S i ∈ [0,M].
We solve an instance of this problem numerically using an integer programming formulation.
We solve this problem using an integer programming formulation and solver.
expected_dims an integer vector of expected dimension.
dims an integer vector of dimensions.
On the other hand, vector b, defined in (48), is an integer vector.
The NS-descriptor is an integer vector, and the other fingerprints are binary vectors.
We represented each compound by an integer vector of length 53 679 in which the occurrence of a substructure is coded as an integer value.
We represent a compound C by a D-dimensional integer vector (an integer vector of length D) as Φ (C ) = (c 1, c 2,..., c D ) T, where c k ∈ ℤ, k = 1,..., D and each element corresponds to the number of times a given chemical substructure from a library of defined substructures occurs in the compound.
We use an integer linear programming (ILP) formulation for this.
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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.
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CEO of Professional Science Editing for Scientists @ prosciediting.com