Provided by: liblapack-doc_3.12.0-3build1.1_all bug

NAME

       lacon - lacon: 1-norm estimate, e.g., || A^{-1} ||_1 in gecon, old

SYNOPSIS

   Functions
       subroutine clacon (n, v, x, est, kase)
           CLACON estimates the 1-norm of a square matrix, using reverse communication for
           evaluating matrix-vector products.
       subroutine dlacon (n, v, x, isgn, est, kase)
           DLACON estimates the 1-norm of a square matrix, using reverse communication for
           evaluating matrix-vector products.
       subroutine slacon (n, v, x, isgn, est, kase)
           SLACON estimates the 1-norm of a square matrix, using reverse communication for
           evaluating matrix-vector products.
       subroutine zlacon (n, v, x, est, kase)
           ZLACON estimates the 1-norm of a square matrix, using reverse communication for
           evaluating matrix-vector products.

Detailed Description

Function Documentation

   subroutine clacon (integer n, complex, dimension( n ) v, complex, dimension( n ) x, real est,
       integer kase)
       CLACON estimates the 1-norm of a square matrix, using reverse communication for evaluating
       matrix-vector products.

       Purpose:

            CLACON estimates the 1-norm of a square, complex matrix A.
            Reverse communication is used for evaluating matrix-vector products.

       Parameters
           N

                     N is INTEGER
                    The order of the matrix.  N >= 1.

           V

                     V is COMPLEX array, dimension (N)
                    On the final return, V = A*W,  where  EST = norm(V)/norm(W)
                    (W is not returned).

           X

                     X is COMPLEX array, dimension (N)
                    On an intermediate return, X should be overwritten by
                          A * X,   if KASE=1,
                          A**H * X,  if KASE=2,
                    where A**H is the conjugate transpose of A, and CLACON must be
                    re-called with all the other parameters unchanged.

           EST

                     EST is REAL
                    On entry with KASE = 1 or 2 and JUMP = 3, EST should be
                    unchanged from the previous call to CLACON.
                    On exit, EST is an estimate (a lower bound) for norm(A).

           KASE

                     KASE is INTEGER
                    On the initial call to CLACON, KASE should be 0.
                    On an intermediate return, KASE will be 1 or 2, indicating
                    whether X should be overwritten by A * X  or A**H * X.
                    On the final return from CLACON, KASE will again be 0.

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

       Further Details:
           Originally named CONEST, dated March 16, 1988.
            Last modified: April, 1999

       Contributors:
           Nick Higham, University of Manchester

       References:
           N.J. Higham, 'FORTRAN codes for estimating the one-norm of
             a real or complex matrix, with applications to condition estimation', ACM Trans.
           Math. Soft., vol. 14, no. 4, pp. 381-396, December 1988.

   subroutine dlacon (integer n, double precision, dimension( * ) v, double precision, dimension(
       * ) x, integer, dimension( * ) isgn, double precision est, integer kase)
       DLACON estimates the 1-norm of a square matrix, using reverse communication for evaluating
       matrix-vector products.

       Purpose:

            DLACON estimates the 1-norm of a square, real matrix A.
            Reverse communication is used for evaluating matrix-vector products.

       Parameters
           N

                     N is INTEGER
                    The order of the matrix.  N >= 1.

           V

                     V is DOUBLE PRECISION array, dimension (N)
                    On the final return, V = A*W,  where  EST = norm(V)/norm(W)
                    (W is not returned).

           X

                     X is DOUBLE PRECISION array, dimension (N)
                    On an intermediate return, X should be overwritten by
                          A * X,   if KASE=1,
                          A**T * X,  if KASE=2,
                    and DLACON must be re-called with all the other parameters
                    unchanged.

           ISGN

                     ISGN is INTEGER array, dimension (N)

           EST

                     EST is DOUBLE PRECISION
                    On entry with KASE = 1 or 2 and JUMP = 3, EST should be
                    unchanged from the previous call to DLACON.
                    On exit, EST is an estimate (a lower bound) for norm(A).

           KASE

                     KASE is INTEGER
                    On the initial call to DLACON, KASE should be 0.
                    On an intermediate return, KASE will be 1 or 2, indicating
                    whether X should be overwritten by A * X  or A**T * X.
                    On the final return from DLACON, KASE will again be 0.

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

       Contributors:
           Nick Higham, University of Manchester.
            Originally named SONEST, dated March 16, 1988.

       References:
           N.J. Higham, 'FORTRAN codes for estimating the one-norm of
             a real or complex matrix, with applications to condition estimation', ACM Trans.
           Math. Soft., vol. 14, no. 4, pp. 381-396, December 1988.

   subroutine slacon (integer n, real, dimension( * ) v, real, dimension( * ) x, integer,
       dimension( * ) isgn, real est, integer kase)
       SLACON estimates the 1-norm of a square matrix, using reverse communication for evaluating
       matrix-vector products.

       Purpose:

            SLACON estimates the 1-norm of a square, real matrix A.
            Reverse communication is used for evaluating matrix-vector products.

       Parameters
           N

                     N is INTEGER
                    The order of the matrix.  N >= 1.

           V

                     V is REAL array, dimension (N)
                    On the final return, V = A*W,  where  EST = norm(V)/norm(W)
                    (W is not returned).

           X

                     X is REAL array, dimension (N)
                    On an intermediate return, X should be overwritten by
                          A * X,   if KASE=1,
                          A**T * X,  if KASE=2,
                    and SLACON must be re-called with all the other parameters
                    unchanged.

           ISGN

                     ISGN is INTEGER array, dimension (N)

           EST

                     EST is REAL
                    On entry with KASE = 1 or 2 and JUMP = 3, EST should be
                    unchanged from the previous call to SLACON.
                    On exit, EST is an estimate (a lower bound) for norm(A).

           KASE

                     KASE is INTEGER
                    On the initial call to SLACON, KASE should be 0.
                    On an intermediate return, KASE will be 1 or 2, indicating
                    whether X should be overwritten by A * X  or A**T * X.
                    On the final return from SLACON, KASE will again be 0.

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

       Contributors:
           Nick Higham, University of Manchester.
            Originally named SONEST, dated March 16, 1988.

       References:
           N.J. Higham, 'FORTRAN codes for estimating the one-norm of
             a real or complex matrix, with applications to condition estimation', ACM Trans.
           Math. Soft., vol. 14, no. 4, pp. 381-396, December 1988.

   subroutine zlacon (integer n, complex*16, dimension( n ) v, complex*16, dimension( n ) x,
       double precision est, integer kase)
       ZLACON estimates the 1-norm of a square matrix, using reverse communication for evaluating
       matrix-vector products.

       Purpose:

            ZLACON estimates the 1-norm of a square, complex matrix A.
            Reverse communication is used for evaluating matrix-vector products.

       Parameters
           N

                     N is INTEGER
                    The order of the matrix.  N >= 1.

           V

                     V is COMPLEX*16 array, dimension (N)
                    On the final return, V = A*W,  where  EST = norm(V)/norm(W)
                    (W is not returned).

           X

                     X is COMPLEX*16 array, dimension (N)
                    On an intermediate return, X should be overwritten by
                          A * X,   if KASE=1,
                          A**H * X,  if KASE=2,
                    where A**H is the conjugate transpose of A, and ZLACON must be
                    re-called with all the other parameters unchanged.

           EST

                     EST is DOUBLE PRECISION
                    On entry with KASE = 1 or 2 and JUMP = 3, EST should be
                    unchanged from the previous call to ZLACON.
                    On exit, EST is an estimate (a lower bound) for norm(A).

           KASE

                     KASE is INTEGER
                    On the initial call to ZLACON, KASE should be 0.
                    On an intermediate return, KASE will be 1 or 2, indicating
                    whether X should be overwritten by A * X  or A**H * X.
                    On the final return from ZLACON, KASE will again be 0.

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

       Further Details:
           Originally named CONEST, dated March 16, 1988.
            Last modified: April, 1999

       Contributors:
           Nick Higham, University of Manchester

       References:
           N.J. Higham, 'FORTRAN codes for estimating the one-norm of
             a real or complex matrix, with applications to condition estimation', ACM Trans.
           Math. Soft., vol. 14, no. 4, pp. 381-396, December 1988.

Author

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