Why in Jacobi eigenvalues algorithm is is important to minimize $||B-A||_F^2$?

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Why in Jacobi eigenvalues algorithm is is important to minimize $||B-A||_F^2$?

Where $B = J^T A J$.

"Matrix Computations" by Colub and Van Loan tells it at 8.4.2. Also you can find it here Jacobi Methods at the beginning of page 3.