- the Gram–Schmidt
process produces the jth
orthogonalized vector after the jth iteration,
while orthogonalization using Householder reflections produces all...
-
produces the j {\displaystyle j} th
orthogonalized vector after the j {\displaystyle j} th iteration,
while orthogonalization using Householder reflections...
- is Gram–Schmidt
orthogonalization of
columns of A,
started from the
first column. RQ
decomposition is Gram–Schmidt
orthogonalization of rows of A, started...
-
between HL and
memory was now possible,
using a
direct address. The Z80
orthogonalized this
further by
making all 16-bit
register pairs,
including IX and IY...
-
gradually lost its true orthogonality. A Gram–Schmidt
process could orthogonalize the columns, but it is not the most reliable, nor the most efficient...
-
triangular matrix (QR decomposition, a
consequence of Gram–Schmidt
orthogonalization). It is
named after Kenkichi Iwasawa, the ****anese
mathematician who...
- the
orthogonalized series lies in its intuitive,
canonical structure, i.e. all
interactions of the
input have one
fixed degree. The
orthogonalized basis...
- GSL also
offers an
alternative method that uses a one-sided
Jacobi orthogonalization in step 2 (GSL Team 2007). This
method computes the SVD of the bidiagonal...
-
factors are
applied to Sc sites, and Ueq (one-third of the
trace of the
orthogonalized Uij tensor) is
listed in
these columns. a
Anisotropic thermal factors...
-
eigenvalues are
different – in the case of multiplicity, the
basis can be
orthogonalized. To now
establish that the
Rayleigh quotient is
maximized by the eigenvector...
