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Estimation of future occurrence of hemoglobin-A1c elevation with and without differential privacy. [PDF]

open access: yesBMC Med Inform Decis Mak
Alam MA   +4 more
europepmc   +1 more source

Eigenvalues and Eigenvectors

2017
This chapter begins with the basic theory of eigenvalues and eigenvectors of matrices. Essential concepts such as characteristic polynomials, the Fundamental Theorem of Algebra, the Gerschgorin circle theorem, invariant subspaces, change of basis, spectral radius and the distance between subspaces are developed.
Ravi P. Agarwal, Cristina Flaut
  +4 more sources

On Some Eigenvector-Eigenvalue Relations

SIAM Journal on Matrix Analysis and Applications, 1999
A well-known identity relating the last components of the eigenvectors of a symmetric matrix to its eigenvalues and of its submatrix obtained by deleting the last row and column is generalized. Applications to Sturm-Liouville systems are considered and as examples the mass spring system and the axially vibrating rod are shortly discussed.
Sylvan Elhay   +3 more
openaire   +1 more source

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