Description Usage Arguments Details Value Examples
The Classical Jacobi Algorithm
1 |
x |
A real symmetric matrix |
symmetric |
a logical value. Is the matrix symmetric? (Only symmetric matrices are allowed.) |
only.values |
A logical value: do you want only the eigenvalues? |
eps |
an error tolerance. 0.0 implies |
Eigenvalues and optionally, eigenvectore, of a real symmetric matrix using the classical Jacobi algorithm, (Jacobi, 1854)
a list of two components as for base::eigen
1 2 3 4 |
$values
[1] 3.8295873 2.9634209 2.1540343 1.7205096 0.9341117
$vectors
[,1] [,2] [,3] [,4] [,5]
[1,] 0.5998277 0.05870473 0.4455547 -0.21073409 0.6275608
[2,] 0.5901163 0.40729883 -0.6672423 -0.11363479 -0.1665692
[3,] -0.5171593 0.63414430 -0.1869099 -0.09873786 0.5345304
[4,] 0.1098265 -0.16633551 -0.2468741 0.86976662 0.3779284
[5,] -0.1115966 -0.63313104 -0.5102810 -0.42004184 0.3871297
[1] TRUE
[1] TRUE
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