The operational matrix of integer integration has been determined for several types of orthogonal polynomials such as Chebyshev polynomials [34] and Laguerre and Hermite polynomials[35].
The operational matrix of integer integration has been determined for several types of orthogonal polynomials, such as the Laguerre series[27], Chebyshev polynomials[28], Legendre polynomials[29], Bessel series[30], and Laguerre and Hermite poynomials[31].
More recently, QUBIC has been presented as a qualitative biclustering algorithm, in which the input data matrix is first represented as a matrix of integer values.
As input, the count-based statistical methods, such as DESeq2, edgeR, limma with the voom method, DSS, EBSeq and BaySeq, expect input data as obtained, e.g., from RNA-seq or another high-throughput sequencing experiment, in the form of a matrix of integer values.
In Eq. 2, M[i,j] is a matrix of integers M[1…n,1…m] that tracks the current job-to-core assignment where M[i,j]=x means that x jobs of task τ i out of k i will execute on core π j (1≤i≤n and 1≤j≤m).
As discussed above, this consists of a matrix of integers.
The input data file is a simple-text matrix of integers in which rows represent genetic markers and columns represent individuals.
Given a matrix of integers A n × m and indices 1 ≤ i < n and 0 ≤ j < n, call the pair of entries A [ i - 1, j] and A [ i, j] adjacent.
The basic data object in radR is the "scan", which is a matrix of integers representing the power received by the radar at a set of uniformly-spaced sample times within each pulse of a sequence evenly-spaced through the radar's rotation (see Figure 1).
A magic square is an n × n matrix of the integers from 1 to n2 such that the sum of every row, column, and diagonal is the same.
