-
eigenvalues and
eigenvectors using either the
language of
linear transformations, or the
language of matrices.
Eigenvalues and
eigenvectors feature prominently...
- jth
eigenvector.
Matrix V
denotes the
matrix of
right eigenvectors (as
opposed to left
eigenvectors). In general, the
matrix of
right eigenvectors need...
- be diagonalized. The n
eigenvectors qi are
usually normalized, but they don't have to be. A non-normalized set of n
eigenvectors, vi can also be used as...
-
except positive multiples of v (respectively, left
eigenvectors except ww'w), i.e., all
other eigenvectors must have at
least one
negative or non-real component...
- {\alpha }}_{E,i}} The
alpha eigenvectors are
written also with
respect to the E basis.
Since the set F is both a set of
eigenvectors for
matrix A and it spans...
- In
graph theory,
eigenvector centrality (also
called eigencentrality or
prestige score) is a
measure of the
influence of a node in a
connected network...
-
independent generalized eigenvectors which form a
basis for an
invariant subspace of V {\displaystyle V} .
Using generalized eigenvectors, a set of linearly...
- also find
eigenvectors.
Given an n × n
square matrix A of real or
complex numbers, an
eigenvalue λ and its ****ociated
generalized eigenvector v are a pair...
- An
eigenface (/ˈaɪɡən-/ EYE-gən-) is the name
given to a set of
eigenvectors when used in the
computer vision problem of
human face recognition. The approach...
- of A in a
basis of
eigenvectors is diagonal, and by the
construction the
proof gives a
basis of
mutually orthogonal eigenvectors; by
choosing them to...
