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TESTING/EIG/ssvdct.f(3) LAPACK TESTING/EIG/ssvdct.f(3)

TESTING/EIG/ssvdct.f


subroutine ssvdct (n, s, e, shift, num)
SSVDCT

SSVDCT

Purpose:


SSVDCT counts the number NUM of eigenvalues of a 2*N by 2*N
tridiagonal matrix T which are less than or equal to SHIFT. T is
formed by putting zeros on the diagonal and making the off-diagonals
equal to S(1), E(1), S(2), E(2), ... , E(N-1), S(N). If SHIFT is
positive, NUM is equal to N plus the number of singular values of a
bidiagonal matrix B less than or equal to SHIFT. Here B has diagonal
entries S(1), ..., S(N) and superdiagonal entries E(1), ... E(N-1).
If SHIFT is negative, NUM is equal to the number of singular values
of B greater than or equal to -SHIFT.
See W. Kahan 'Accurate Eigenvalues of a Symmetric Tridiagonal
Matrix', Report CS41, Computer Science Dept., Stanford University,
July 21, 1966

Parameters

N


N is INTEGER
The dimension of the bidiagonal matrix B.

S


S is REAL array, dimension (N)
The diagonal entries of the bidiagonal matrix B.

E


E is REAL array of dimension (N-1)
The superdiagonal entries of the bidiagonal matrix B.

SHIFT


SHIFT is REAL
The shift, used as described under Purpose.

NUM


NUM is INTEGER
The number of eigenvalues of T less than or equal to SHIFT.

Author

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Definition at line 86 of file ssvdct.f.

Generated automatically by Doxygen for LAPACK from the source code.

Sun Jan 12 2025 15:13:34 Version 3.12.1

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