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sgbtf2 (3)
  • >> sgbtf2 (3) ( Solaris man: Библиотечные вызовы )
  • 
    NAME
         sgbtf2 - compute an LU factorization of a real  m-by-n  band
         matrix A using partial pivoting with row interchanges
    
    SYNOPSIS
         SUBROUTINE SGBTF2( M, N, KL, KU, AB, LDAB, IPIV, INFO )
    
         INTEGER INFO, KL, KU, LDAB, M, N
    
         INTEGER IPIV( * )
    
         REAL AB( LDAB, * )
    
    
    
         #include <sunperf.h>
    
         void sgbtf2(int m, int n, int kl, int ku,  float  *sab,  int
                   ldab, int *ipivot, int *info) ;
    
    PURPOSE
         SGBTF2 computes an LU factorization of a  real  m-by-n  band
         matrix A using partial pivoting with row interchanges.
    
         This is the unblocked  version  of  the  algorithm,  calling
         Level 2 BLAS.
    
    
    ARGUMENTS
         M         (input) INTEGER
                   The number of rows of the matrix A.  M >= 0.
    
         N         (input) INTEGER
                   The number of columns of the matrix A.  N >= 0.
    
         KL        (input) INTEGER
                   The number of subdiagonals within the band  of  A.
                   KL >= 0.
    
         KU        (input) INTEGER
                   The number of superdiagonals within the band of A.
                   KU >= 0.
    
         AB        (input/output) REAL array, dimension (LDAB,N)
                   On entry, the matrix A in band  storage,  in  rows
                   KL+1  to 2*KL+KU+1; rows 1 to KL of the array need
                   not be set.  The j-th column of A is stored in the
                   j-th   column   of   the   array  AB  as  follows:
                   AB(kl+ku+1+i-j,j)   =    A(i,j)    for    max(1,j-
                   ku)<=i<=min(m,j+kl)
    
                   On exit, details of the factorization: U is stored
                   as  an  upper  triangular  band  matrix with KL+KU
                   superdiagonals in rows 1 to KL+KU+1, and the  mul-
                   tipliers  used during the factorization are stored
                   in rows  KL+KU+2  to  2*KL+KU+1.   See  below  for
                   further details.
    
         LDAB      (input) INTEGER
                   The leading dimension of the array  AB.   LDAB  >=
                   2*KL+KU+1.
    
         IPIV      (output) INTEGER array, dimension (min(M,N))
                   The pivot indices; for 1 <= i <= min(M,N),  row  i
                   of the matrix was interchanged with row IPIV(i).
    
         INFO      (output) INTEGER
                   = 0: successful exit
                   < 0: if INFO = -i, the i-th argument had an  ille-
                   gal value
                   > 0: if INFO = +i, U(i,i)  is  exactly  zero.  The
                   factorization has been completed, but the factor U
                   is exactly singular, and  division  by  zero  will
                   occur  if  it  is  used to solve a system of equa-
                   tions.
    
    FURTHER DETAILS
         The band storage scheme  is  illustrated  by  the  following
         example, when M = N = 6, KL = 2, KU = 1:
    
         On entry:                       On exit:
    
            *   *   *   +   +   +       *   *   *  u14 u25 u36
            *   *   +   +   +   +       *   *  u13 u24 u35 u46
            *  a12 a23 a34 a45 a56      *  u12 u23 u34 u45 u56
           a11 a22 a33 a44 a55 a66     u11 u22 u33 u44 u55 u66
           a21 a32 a43 a54 a65  *      m21 m32 m43 m54 m65  *
           a31 a42 a53 a64  *   *      m31 m42 m53 m64  *   *
    
         Array elements marked * are not used by  the  routine;  ele-
         ments marked + need not be set on entry, but are required by
         the routine to store  elements  of  U,  because  of  fill-in
         resulting from the row
         interchanges.
    
    
    
    


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