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Additional
Jacobi eigenvalue algorithm
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Jacobi eigenvalue algorithm
In
numerical linear algebra
, the
Jacobi eigenvalue algorithm
is an
iterative method
for the calculation of the
eigenvalues
and
eigenvectors
of a
real
symmetric matrix
(a process known as diagonalization). It is named after
Carl Gustav Jacob Jacobi
, who first proposed the method in 1846, but only became widely used in the 1950s with the advent of computers.
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