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The conventional methods are achieved by either the eigenvalue decomposition or the singular values decomposition (SVD).
Some sufficient conditions are obtained to grantee asymptotic stability of the system in view of Schur complement and singular values decomposition of matrix.
Identified natural frequencies are then used for the damage detection, exploiting the capacity of singular values decomposition to discriminate between damage-related events and the intrinsic non-stationary nature of the structural response.
Wilkinson [12] points out that not only MDS and hierarchical clustering may be used for matrix reordering, but also singular values decomposition (SVD), nonlinear dimension reduction, and entropy minimization.
Water-unsuppressed spectra were processed without apodization and fitted by a single component using Hankel Lanczos Squares Singular Values Decomposition (HLSVD), a method based on the Lanczos algorithm and included in the jMRUI package [24], yielding an estimation of the water signal integral.
The residual peak of the water signal was suppressed using Hankel Lanczos Singular Values Decomposition Filter (HLSVD [ 18].
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His team relies, in part, on singular value decomposition.
Its secret was a mathematical technique called singular value decomposition.
Singular value decomposition works by uncovering "factors" that Netflix customers like or don't like.
"He is the master of S.V.D.'s," Dr. Mitchell Feigenbaum, a mathematician at the Rockefeller University, said of singular value decomposition.
Singular value decomposition takes the mass of Netflix data — 17,770 movies, ratings by 480,189 users — and automatically sorts the films.
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