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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 it only became widely used in the 1950s with the advent of…

Applications, Cost & Applications for real symmetric matrices

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Julia implementation

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Jacobi eigenvalue algorithm

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Jacobi eigenvalue algorithm

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related to Julia implementation · 3
Jacobi eigenvalue algorithm → Jacobi, Julia, The
is a · 1
Jacobi eigenvalue algorithm → iterative method for the calculation of the eigenvalues and eigenvectors of a real symmetric matrix

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displaystyle matrix jacobi algorithm eigenvalues method rotation real symmetric element number complexity diagonal pivot rotations sweep eigenvalue implementation off-diagonal gamma

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SubjectPredicateObjectConfidenceSrc
Jacobi eigenvalue algorithmis aiterative method for the calculation of the eigenvalues and eigenvectors of a real symmetric matrix0.90text
being banded of the matrix on which it operatesinstance ofit will not preserve structures0.80text
Jacobi eigenvalue algorithmrelated to Julia implementationThe0.60section
Jacobi eigenvalue algorithmrelated to Julia implementationJacobi0.60section
Jacobi eigenvalue algorithmrelated to Julia implementationJulia0.60section

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