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IRIX 6.2 Development Libraries
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dpbequ.z
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dpbequ
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1996-03-14
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133 lines
DDDDPPPPBBBBEEEEQQQQUUUU((((3333FFFF)))) DDDDPPPPBBBBEEEEQQQQUUUU((((3333FFFF))))
NNNNAAAAMMMMEEEE
DPBEQU - compute row and column scalings intended to equilibrate a
symmetric positive definite band matrix A and reduce its condition number
(with respect to the two-norm)
SSSSYYYYNNNNOOOOPPPPSSSSIIIISSSS
SUBROUTINE DPBEQU( UPLO, N, KD, AB, LDAB, S, SCOND, AMAX, INFO )
CHARACTER UPLO
INTEGER INFO, KD, LDAB, N
DOUBLE PRECISION AMAX, SCOND
DOUBLE PRECISION AB( LDAB, * ), S( * )
PPPPUUUURRRRPPPPOOOOSSSSEEEE
DPBEQU computes row and column scalings intended to equilibrate a
symmetric positive definite band matrix A and reduce its condition number
(with respect to the two-norm). S contains the scale factors, S(i) =
1/sqrt(A(i,i)), chosen so that the scaled matrix B with elements B(i,j) =
S(i)*A(i,j)*S(j) has ones on the diagonal. This choice of S puts the
condition number of B within a factor N of the smallest possible
condition number over all possible diagonal scalings.
AAAARRRRGGGGUUUUMMMMEEEENNNNTTTTSSSS
UPLO (input) CHARACTER*1
= 'U': Upper triangular of A is stored;
= 'L': Lower triangular of A is stored.
N (input) INTEGER
The order of the matrix A. N >= 0.
KD (input) INTEGER
The number of superdiagonals of the matrix A if UPLO = 'U', or
the number of subdiagonals if UPLO = 'L'. KD >= 0.
AB (input) DOUBLE PRECISION array, dimension (LDAB,N)
The upper or lower triangle of the symmetric band matrix A,
stored in the first KD+1 rows of the array. The j-th column of A
is stored in the j-th column of the array AB as follows: if UPLO
= 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j; if UPLO =
'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+kd).
LDAB (input) INTEGER
The leading dimension of the array A. LDAB >= KD+1.
S (output) DOUBLE PRECISION array, dimension (N)
If INFO = 0, S contains the scale factors for A.
PPPPaaaaggggeeee 1111
DDDDPPPPBBBBEEEEQQQQUUUU((((3333FFFF)))) DDDDPPPPBBBBEEEEQQQQUUUU((((3333FFFF))))
SCOND (output) DOUBLE PRECISION
If INFO = 0, S contains the ratio of the smallest S(i) to the
largest S(i). If SCOND >= 0.1 and AMAX is neither too large nor
too small, it is not worth scaling by S.
AMAX (output) DOUBLE PRECISION
Absolute value of largest matrix element. If AMAX is very close
to overflow or very close to underflow, the matrix should be
scaled.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value.
> 0: if INFO = i, the i-th diagonal element is nonpositive.
PPPPaaaaggggeeee 2222