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dsyequb.f(3)			    LAPACK			  dsyequb.f(3)

NAME
       dsyequb.f -

SYNOPSIS
   Functions/Subroutines
       subroutine dsyequb (UPLO, N, A, LDA, S, SCOND, AMAX, WORK, INFO)
	   DSYEQUB

Function/Subroutine Documentation
   subroutine dsyequb (characterUPLO, integerN, double precision, dimension(
       lda, * )A, integerLDA, double precision, dimension( * )S, double
       precisionSCOND, double precisionAMAX, double precision, dimension( *
       )WORK, integerINFO)
       DSYEQUB

       Purpose:

	    DSYEQUB computes row and column scalings intended to equilibrate a
	    symmetric 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.

       Parameters:
	   UPLO

		     UPLO is CHARACTER*1
		     Specifies whether the details of the factorization are stored
		     as an upper or lower triangular matrix.
		     = 'U':  Upper triangular, form is A = U*D*U**T;
		     = 'L':  Lower triangular, form is A = L*D*L**T.

	   N

		     N is INTEGER
		     The order of the matrix A.	 N >= 0.

	   A

		     A is DOUBLE PRECISION array, dimension (LDA,N)
		     The N-by-N symmetric matrix whose scaling
		     factors are to be computed.  Only the diagonal elements of A
		     are referenced.

	   LDA

		     LDA is INTEGER
		     The leading dimension of the array A.  LDA >= max(1,N).

	   S

		     S is DOUBLE PRECISION array, dimension (N)
		     If INFO = 0, S contains the scale factors for A.

	   SCOND

		     SCOND is 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

		     AMAX is 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.

	   WORK

		     WORK is DOUBLE PRECISION array, dimension (3*N)

	   INFO

		     INFO is 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.

       Author:
	   Univ. of Tennessee

	   Univ. of California Berkeley

	   Univ. of Colorado Denver

	   NAG Ltd.

       Date:
	   November 2011

       References:
	   Livne, O.E. and Golub, G.H., 'Scaling by Binormalization',
	    Numerical Algorithms, vol. 35, no. 1, pp. 97-120, January 2004.
	    DOI 10.1023/B:NUMA.0000016606.32820.69
	    Tech report version:
	   http://ruready.utah.edu/archive/papers/bin.pdf

       Definition at line 136 of file dsyequb.f.

Author
       Generated automatically by Doxygen for LAPACK from the source code.

Version 3.4.2			Tue Sep 25 2012			  dsyequb.f(3)
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