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IRIX 6.2 Development Libraries
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SGECO.z
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SGECO
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1996-03-14
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3KB
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133 lines
SSSSGGGGEEEECCCCOOOO((((3333FFFF)))) SSSSGGGGEEEECCCCOOOO((((3333FFFF))))
NNNNAAAAMMMMEEEE
SGECO - SGECO factors a real matrix by Gaussian elimination and
estimates the condition of the matrix.
If RCOND is not needed, SGEFA is slightly faster. To solve A*X = B ,
follow SGECO by SGESL. To compute INVERSE(A)*C , follow SGECO by SGESL.
To compute DETERMINANT(A) , follow SGECO by SGEDI. To compute
INVERSE(A) , follow SGECO by SGEDI.
SSSSYYYYNNNNOOOOPPPPSSSSYYYYSSSS
SUBROUTINE SGECO(A,LDA,N,IPVT,RCOND,Z)
DDDDEEEESSSSCCCCRRRRIIIIPPPPTTTTIIIIOOOONNNN
On Entry
AAAA REAL(LDA, N)
the matrix to be factored.
LLLLDDDDAAAA INTEGER
the leading dimension of the array A .
NNNN INTEGER
the order of the matrix A . On Return
AAAA an upper triangular matrix and the multipliers
which were used to obtain it.
The factorization can be written A = L*U , where
L is a product of permutation and unit lower
triangular matrices and U is upper triangular.
IIIIPPPPVVVVTTTT INTEGER(N)
an integer vector of pivot indices.
RRRRCCCCOOOONNNNDDDD REAL
an estimate of the reciprocal condition of A .
For the system A*X = B , relative perturbations
in A and B of size EPSILON may cause
relative perturbations in X of size EPSILON/RCOND .
If RCOND is so small that the logical expression
1.0 + RCOND .EQ. 1.0
is true, then A may be singular to working
precision. In particular, RCOND is zero if
exact singularity is detected or the estimate
underflows.
ZZZZ REAL(N)
a work vector whose contents are usually unimportant.
If A is close to a singular matrix, then Z is
an approximate null vector in the sense that
NORM(A*Z) = RCOND*NORM(A)*NORM(Z) . LINPACK. This version dated
08/14/78 . Cleve Moler, University of New Mexico, Argonne National Lab.
PPPPaaaaggggeeee 1111
SSSSGGGGEEEECCCCOOOO((((3333FFFF)))) SSSSGGGGEEEECCCCOOOO((((3333FFFF))))
Subroutines and Functions LINPACK SGEFA BLAS SAXPY,SDOT,SSCAL,SASUM
Fortran ABS,AMAX1,SIGN
PPPPaaaaggggeeee 2222