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QFD uses a matrix called the house of quality (HoQ) to translate customer requirements (CRs) into engineering characteristics (ECs).
This paper presents a new approach to solve this problem that is based on a new norm of a matrix, called the truncated nuclear norm (TNN).
To solve the linear system of equations, the original matrix is embedded into a larger and more structured matrix called the block circulant matrix.
To overcome the nonlinear parametric problem of the dynamics of FFSMs, we introduce a new regressor matrix called the generalized dynamic regressor.
QFD uses a matrix called the "House of Quality" (HoQ), and constructing the HoQ is a critical step in the application of QFD as it translates customer requirements into engineering characteristics.
Next, a new image-feature matrix, called the entropy-weighted Gabor and PC feature matrix (EWGP), is constructed.
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In particular, the eigenvalue distribution of non-Hermitian random matrices called the Ginibre ensemble [6] has attracted much attention both in pure mathematics and in applications, since it gives a DPP on a complex plane.
end In this section we describe a new approach (Arsigny et al., 2007) to compute a mean of SPD matrices called the LogEM.
The developers of the matrix called these four groups cash cows, stars, dogs, and bright prospects, respectively.
Moreover, a Boolean matrix called as the classification matrix is used to compress the classification resulted by pruned ensemble on the dataset.
then the matrix is called the limit matrix of matrix sequence, noted by, where is a real sequence,, and,.
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