*DECK DSICO SUBROUTINE DSICO (A, LDA, N, KPVT, RCOND, Z) C***BEGIN PROLOGUE DSICO C***PURPOSE Factor a symmetric matrix by elimination with symmetric C pivoting and estimate the condition number of the matrix. C***LIBRARY SLATEC (LINPACK) C***CATEGORY D2B1A C***TYPE DOUBLE PRECISION (SSICO-S, DSICO-D, CHICO-C, CSICO-C) C***KEYWORDS CONDITION NUMBER, LINEAR ALGEBRA, LINPACK, C MATRIX FACTORIZATION, SYMMETRIC C***AUTHOR Moler, C. B., (U. of New Mexico) C***DESCRIPTION C C DSICO factors a double precision symmetric matrix by elimination C with symmetric pivoting and estimates the condition of the C matrix. C C If RCOND is not needed, DSIFA is slightly faster. C To solve A*X = B , follow DSICO by DSISL. C To compute INVERSE(A)*C , follow DSICO by DSISL. C To compute INVERSE(A) , follow DSICO by DSIDI. C To compute DETERMINANT(A) , follow DSICO by DSIDI. C To compute INERTIA(A), follow DSICO by DSIDI. C C On Entry C C A DOUBLE PRECISION(LDA, N) C the symmetric matrix to be factored. C Only the diagonal and upper triangle are used. C C LDA INTEGER C the leading dimension of the array A . C C N INTEGER C the order of the matrix A . C C Output C C A a block diagonal matrix and the multipliers which C were used to obtain it. C The factorization can be written A = U*D*TRANS(U) C where U is a product of permutation and unit C upper triangular matrices, TRANS(U) is the C transpose of U , and D is block diagonal C with 1 by 1 and 2 by 2 blocks. C C KPVT INTEGER(N) C an integer vector of pivot indices. C C RCOND DOUBLE PRECISION C an estimate of the reciprocal condition of A . C For the system A*X = B , relative perturbations C in A and B of size EPSILON may cause C relative perturbations in X of size EPSILON/RCOND . C If RCOND is so small that the logical expression C 1.0 + RCOND .EQ. 1.0 C is true, then A may be singular to working C precision. In particular, RCOND is zero if C exact singularity is detected or the estimate C underflows. C C Z DOUBLE PRECISION(N) C a work vector whose contents are usually unimportant. C If A is close to a singular matrix, then Z is C an approximate null vector in the sense that C NORM(A*Z) = RCOND*NORM(A)*NORM(Z) . C C***REFERENCES J. J. Dongarra, J. R. Bunch, C. B. Moler, and G. W. C Stewart, LINPACK Users' Guide, SIAM, 1979. C***ROUTINES CALLED DASUM, DAXPY, DDOT, DSCAL, DSIFA C***REVISION HISTORY (YYMMDD) C 780814 DATE WRITTEN C 890531 Changed all specific intrinsics to generic. (WRB) C 890831 Modified array declarations. (WRB) C 891107 Modified routine equivalence list. (WRB) C 891107 REVISION DATE from Version 3.2 C 891214 Prologue converted to Version 4.0 format. (BAB) C 900326 Removed duplicate information from DESCRIPTION section. C (WRB) C 920501 Reformatted the REFERENCES section. (WRB) C***END PROLOGUE DSICO