LAPACK  3.4.2
LAPACK: Linear Algebra PACKage
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double
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Functions/Subroutines

DOUBLE PRECISION function dlansy (NORM, UPLO, N, A, LDA, WORK)
 DLANSY returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real symmetric matrix.
subroutine dlaqsy (UPLO, N, A, LDA, S, SCOND, AMAX, EQUED)
 DLAQSY scales a symmetric/Hermitian matrix, using scaling factors computed by spoequ.
subroutine dlasy2 (LTRANL, LTRANR, ISGN, N1, N2, TL, LDTL, TR, LDTR, B, LDB, SCALE, X, LDX, XNORM, INFO)
 DLASY2 solves the Sylvester matrix equation where the matrices are of order 1 or 2.
subroutine dsyswapr (UPLO, N, A, LDA, I1, I2)
 DSYSWAPR applies an elementary permutation on the rows and columns of a symmetric matrix.
subroutine dtgsy2 (TRANS, IJOB, M, N, A, LDA, B, LDB, C, LDC, D, LDD, E, LDE, F, LDF, SCALE, RDSUM, RDSCAL, IWORK, PQ, INFO)
 DTGSY2 solves the generalized Sylvester equation (unblocked algorithm).

Detailed Description

This is the group of double auxiliary functions for SY matrices

Function/Subroutine Documentation

DOUBLE PRECISION function dlansy ( character  NORM,
character  UPLO,
integer  N,
double precision, dimension( lda, * )  A,
integer  LDA,
double precision, dimension( * )  WORK 
)

DLANSY returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real symmetric matrix.

Download DLANSY + dependencies [TGZ] [ZIP] [TXT]
Purpose: 
 DLANSY  returns the value of the one norm,  or the Frobenius norm, or
 the  infinity norm,  or the  element of  largest absolute value  of a
 real symmetric matrix A.
Returns:
DLANSY 
    DLANSY = ( max(abs(A(i,j))), NORM = 'M' or 'm'
             (
             ( norm1(A),         NORM = '1', 'O' or 'o'
             (
             ( normI(A),         NORM = 'I' or 'i'
             (
             ( normF(A),         NORM = 'F', 'f', 'E' or 'e'

 where  norm1  denotes the  one norm of a matrix (maximum column sum),
 normI  denotes the  infinity norm  of a matrix  (maximum row sum) and
 normF  denotes the  Frobenius norm of a matrix (square root of sum of
 squares).  Note that  max(abs(A(i,j)))  is not a consistent matrix norm.
Parameters:
[in]NORM
          NORM is CHARACTER*1
          Specifies the value to be returned in DLANSY as described
          above.
[in]UPLO
          UPLO is CHARACTER*1
          Specifies whether the upper or lower triangular part of the
          symmetric matrix A is to be referenced.
          = 'U':  Upper triangular part of A is referenced
          = 'L':  Lower triangular part of A is referenced
[in]N
          N is INTEGER
          The order of the matrix A.  N >= 0.  When N = 0, DLANSY is
          set to zero.
[in]A
          A is DOUBLE PRECISION array, dimension (LDA,N)
          The symmetric matrix A.  If UPLO = 'U', the leading n by n
          upper triangular part of A contains the upper triangular part
          of the matrix A, and the strictly lower triangular part of A
          is not referenced.  If UPLO = 'L', the leading n by n lower
          triangular part of A contains the lower triangular part of
          the matrix A, and the strictly upper triangular part of A is
          not referenced.
[in]LDA
          LDA is INTEGER
          The leading dimension of the array A.  LDA >= max(N,1).
[out]WORK
          WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
          where LWORK >= N when NORM = 'I' or '1' or 'O'; otherwise,
          WORK is not referenced.
Author:
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
September 2012

Definition at line 123 of file dlansy.f.

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subroutine dlaqsy ( character  UPLO,
integer  N,
double precision, dimension( lda, * )  A,
integer  LDA,
double precision, dimension( * )  S,
double precision  SCOND,
double precision  AMAX,
character  EQUED 
)

DLAQSY scales a symmetric/Hermitian matrix, using scaling factors computed by spoequ.

Download DLAQSY + dependencies [TGZ] [ZIP] [TXT]
Purpose: 
 DLAQSY equilibrates a symmetric matrix A using the scaling factors
 in the vector S.
Parameters:
[in]UPLO
          UPLO is CHARACTER*1
          Specifies whether the upper or lower triangular part of the
          symmetric matrix A is stored.
          = 'U':  Upper triangular
          = 'L':  Lower triangular
[in]N
          N is INTEGER
          The order of the matrix A.  N >= 0.
[in,out]A
          A is DOUBLE PRECISION array, dimension (LDA,N)
          On entry, the symmetric matrix A.  If UPLO = 'U', the leading
          n by n upper triangular part of A contains the upper
          triangular part of the matrix A, and the strictly lower
          triangular part of A is not referenced.  If UPLO = 'L', the
          leading n by n lower triangular part of A contains the lower
          triangular part of the matrix A, and the strictly upper
          triangular part of A is not referenced.

          On exit, if EQUED = 'Y', the equilibrated matrix:
          diag(S) * A * diag(S).
[in]LDA
          LDA is INTEGER
          The leading dimension of the array A.  LDA >= max(N,1).
[in]S
          S is DOUBLE PRECISION array, dimension (N)
          The scale factors for A.
[in]SCOND
          SCOND is DOUBLE PRECISION
          Ratio of the smallest S(i) to the largest S(i).
[in]AMAX
          AMAX is DOUBLE PRECISION
          Absolute value of largest matrix entry.
[out]EQUED
          EQUED is CHARACTER*1
          Specifies whether or not equilibration was done.
          = 'N':  No equilibration.
          = 'Y':  Equilibration was done, i.e., A has been replaced by
                  diag(S) * A * diag(S).
Internal Parameters: 
  THRESH is a threshold value used to decide if scaling should be done
  based on the ratio of the scaling factors.  If SCOND < THRESH,
  scaling is done.

  LARGE and SMALL are threshold values used to decide if scaling should
  be done based on the absolute size of the largest matrix element.
  If AMAX > LARGE or AMAX < SMALL, scaling is done.
Author:
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
September 2012

Definition at line 134 of file dlaqsy.f.

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subroutine dlasy2 ( logical  LTRANL,
logical  LTRANR,
integer  ISGN,
integer  N1,
integer  N2,
double precision, dimension( ldtl, * )  TL,
integer  LDTL,
double precision, dimension( ldtr, * )  TR,
integer  LDTR,
double precision, dimension( ldb, * )  B,
integer  LDB,
double precision  SCALE,
double precision, dimension( ldx, * )  X,
integer  LDX,
double precision  XNORM,
integer  INFO 
)

DLASY2 solves the Sylvester matrix equation where the matrices are of order 1 or 2.

Download DLASY2 + dependencies [TGZ] [ZIP] [TXT]
Purpose: 
 DLASY2 solves for the N1 by N2 matrix X, 1 <= N1,N2 <= 2, in

        op(TL)*X + ISGN*X*op(TR) = SCALE*B,

 where TL is N1 by N1, TR is N2 by N2, B is N1 by N2, and ISGN = 1 or
 -1.  op(T) = T or T**T, where T**T denotes the transpose of T.
Parameters:
[in]LTRANL
          LTRANL is LOGICAL
          On entry, LTRANL specifies the op(TL):
             = .FALSE., op(TL) = TL,
             = .TRUE., op(TL) = TL**T.
[in]LTRANR
          LTRANR is LOGICAL
          On entry, LTRANR specifies the op(TR):
            = .FALSE., op(TR) = TR,
            = .TRUE., op(TR) = TR**T.
[in]ISGN
          ISGN is INTEGER
          On entry, ISGN specifies the sign of the equation
          as described before. ISGN may only be 1 or -1.
[in]N1
          N1 is INTEGER
          On entry, N1 specifies the order of matrix TL.
          N1 may only be 0, 1 or 2.
[in]N2
          N2 is INTEGER
          On entry, N2 specifies the order of matrix TR.
          N2 may only be 0, 1 or 2.
[in]TL
          TL is DOUBLE PRECISION array, dimension (LDTL,2)
          On entry, TL contains an N1 by N1 matrix.
[in]LDTL
          LDTL is INTEGER
          The leading dimension of the matrix TL. LDTL >= max(1,N1).
[in]TR
          TR is DOUBLE PRECISION array, dimension (LDTR,2)
          On entry, TR contains an N2 by N2 matrix.
[in]LDTR
          LDTR is INTEGER
          The leading dimension of the matrix TR. LDTR >= max(1,N2).
[in]B
          B is DOUBLE PRECISION array, dimension (LDB,2)
          On entry, the N1 by N2 matrix B contains the right-hand
          side of the equation.
[in]LDB
          LDB is INTEGER
          The leading dimension of the matrix B. LDB >= max(1,N1).
[out]SCALE
          SCALE is DOUBLE PRECISION
          On exit, SCALE contains the scale factor. SCALE is chosen
          less than or equal to 1 to prevent the solution overflowing.
[out]X
          X is DOUBLE PRECISION array, dimension (LDX,2)
          On exit, X contains the N1 by N2 solution.
[in]LDX
          LDX is INTEGER
          The leading dimension of the matrix X. LDX >= max(1,N1).
[out]XNORM
          XNORM is DOUBLE PRECISION
          On exit, XNORM is the infinity-norm of the solution.
[out]INFO
          INFO is INTEGER
          On exit, INFO is set to
             0: successful exit.
             1: TL and TR have too close eigenvalues, so TL or
                TR is perturbed to get a nonsingular equation.
          NOTE: In the interests of speed, this routine does not
                check the inputs for errors.
Author:
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
September 2012

Definition at line 174 of file dlasy2.f.

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subroutine dsyswapr ( character  UPLO,
integer  N,
double precision, dimension( lda, n )  A,
integer  LDA,
integer  I1,
integer  I2 
)

DSYSWAPR applies an elementary permutation on the rows and columns of a symmetric matrix.

Download DSYSWAPR + dependencies [TGZ] [ZIP] [TXT]
Purpose: 
 DSYSWAPR applies an elementary permutation on the rows and the columns of
 a symmetric matrix.
Parameters:
[in]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.
[in]N
          N is INTEGER
          The order of the matrix A.  N >= 0.
[in,out]A
          A is DOUBLE PRECISION array, dimension (LDA,N)
          On entry, the NB diagonal matrix D and the multipliers
          used to obtain the factor U or L as computed by DSYTRF.

          On exit, if INFO = 0, the (symmetric) inverse of the original
          matrix.  If UPLO = 'U', the upper triangular part of the
          inverse is formed and the part of A below the diagonal is not
          referenced; if UPLO = 'L' the lower triangular part of the
          inverse is formed and the part of A above the diagonal is
          not referenced.
[in]LDA
          LDA is INTEGER
          The leading dimension of the array A.  LDA >= max(1,N).
[in]I1
          I1 is INTEGER
          Index of the first row to swap
[in]I2
          I2 is INTEGER
          Index of the second row to swap
Author:
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
September 2012

Definition at line 103 of file dsyswapr.f.

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subroutine dtgsy2 ( character  TRANS,
integer  IJOB,
integer  M,
integer  N,
double precision, dimension( lda, * )  A,
integer  LDA,
double precision, dimension( ldb, * )  B,
integer  LDB,
double precision, dimension( ldc, * )  C,
integer  LDC,
double precision, dimension( ldd, * )  D,
integer  LDD,
double precision, dimension( lde, * )  E,
integer  LDE,
double precision, dimension( ldf, * )  F,
integer  LDF,
double precision  SCALE,
double precision  RDSUM,
double precision  RDSCAL,
integer, dimension( * )  IWORK,
integer  PQ,
integer  INFO 
)

DTGSY2 solves the generalized Sylvester equation (unblocked algorithm).

Download DTGSY2 + dependencies [TGZ] [ZIP] [TXT]
Purpose: 
 DTGSY2 solves the generalized Sylvester equation:

             A * R - L * B = scale * C                (1)
             D * R - L * E = scale * F,

 using Level 1 and 2 BLAS. where R and L are unknown M-by-N matrices,
 (A, D), (B, E) and (C, F) are given matrix pairs of size M-by-M,
 N-by-N and M-by-N, respectively, with real entries. (A, D) and (B, E)
 must be in generalized Schur canonical form, i.e. A, B are upper
 quasi triangular and D, E are upper triangular. The solution (R, L)
 overwrites (C, F). 0 <= SCALE <= 1 is an output scaling factor
 chosen to avoid overflow.

 In matrix notation solving equation (1) corresponds to solve
 Z*x = scale*b, where Z is defined as

        Z = [ kron(In, A)  -kron(B**T, Im) ]             (2)
            [ kron(In, D)  -kron(E**T, Im) ],

 Ik is the identity matrix of size k and X**T is the transpose of X.
 kron(X, Y) is the Kronecker product between the matrices X and Y.
 In the process of solving (1), we solve a number of such systems
 where Dim(In), Dim(In) = 1 or 2.

 If TRANS = 'T', solve the transposed system Z**T*y = scale*b for y,
 which is equivalent to solve for R and L in

             A**T * R  + D**T * L   = scale * C           (3)
             R  * B**T + L  * E**T  = scale * -F

 This case is used to compute an estimate of Dif[(A, D), (B, E)] =
 sigma_min(Z) using reverse communicaton with DLACON.

 DTGSY2 also (IJOB >= 1) contributes to the computation in DTGSYL
 of an upper bound on the separation between to matrix pairs. Then
 the input (A, D), (B, E) are sub-pencils of the matrix pair in
 DTGSYL. See DTGSYL for details.
Parameters:
[in]TRANS
          TRANS is CHARACTER*1
          = 'N', solve the generalized Sylvester equation (1).
          = 'T': solve the 'transposed' system (3).
[in]IJOB
          IJOB is INTEGER
          Specifies what kind of functionality to be performed.
          = 0: solve (1) only.
          = 1: A contribution from this subsystem to a Frobenius
               norm-based estimate of the separation between two matrix
               pairs is computed. (look ahead strategy is used).
          = 2: A contribution from this subsystem to a Frobenius
               norm-based estimate of the separation between two matrix
               pairs is computed. (DGECON on sub-systems is used.)
          Not referenced if TRANS = 'T'.
[in]M
          M is INTEGER
          On entry, M specifies the order of A and D, and the row
          dimension of C, F, R and L.
[in]N
          N is INTEGER
          On entry, N specifies the order of B and E, and the column
          dimension of C, F, R and L.
[in]A
          A is DOUBLE PRECISION array, dimension (LDA, M)
          On entry, A contains an upper quasi triangular matrix.
[in]LDA
          LDA is INTEGER
          The leading dimension of the matrix A. LDA >= max(1, M).
[in]B
          B is DOUBLE PRECISION array, dimension (LDB, N)
          On entry, B contains an upper quasi triangular matrix.
[in]LDB
          LDB is INTEGER
          The leading dimension of the matrix B. LDB >= max(1, N).
[in,out]C
          C is DOUBLE PRECISION array, dimension (LDC, N)
          On entry, C contains the right-hand-side of the first matrix
          equation in (1).
          On exit, if IJOB = 0, C has been overwritten by the
          solution R.
[in]LDC
          LDC is INTEGER
          The leading dimension of the matrix C. LDC >= max(1, M).
[in]D
          D is DOUBLE PRECISION array, dimension (LDD, M)
          On entry, D contains an upper triangular matrix.
[in]LDD
          LDD is INTEGER
          The leading dimension of the matrix D. LDD >= max(1, M).
[in]E
          E is DOUBLE PRECISION array, dimension (LDE, N)
          On entry, E contains an upper triangular matrix.
[in]LDE
          LDE is INTEGER
          The leading dimension of the matrix E. LDE >= max(1, N).
[in,out]F
          F is DOUBLE PRECISION array, dimension (LDF, N)
          On entry, F contains the right-hand-side of the second matrix
          equation in (1).
          On exit, if IJOB = 0, F has been overwritten by the
          solution L.
[in]LDF
          LDF is INTEGER
          The leading dimension of the matrix F. LDF >= max(1, M).
[out]SCALE
          SCALE is DOUBLE PRECISION
          On exit, 0 <= SCALE <= 1. If 0 < SCALE < 1, the solutions
          R and L (C and F on entry) will hold the solutions to a
          slightly perturbed system but the input matrices A, B, D and
          E have not been changed. If SCALE = 0, R and L will hold the
          solutions to the homogeneous system with C = F = 0. Normally,
          SCALE = 1.
[in,out]RDSUM
          RDSUM is DOUBLE PRECISION
          On entry, the sum of squares of computed contributions to
          the Dif-estimate under computation by DTGSYL, where the
          scaling factor RDSCAL (see below) has been factored out.
          On exit, the corresponding sum of squares updated with the
          contributions from the current sub-system.
          If TRANS = 'T' RDSUM is not touched.
          NOTE: RDSUM only makes sense when DTGSY2 is called by DTGSYL.
[in,out]RDSCAL
          RDSCAL is DOUBLE PRECISION
          On entry, scaling factor used to prevent overflow in RDSUM.
          On exit, RDSCAL is updated w.r.t. the current contributions
          in RDSUM.
          If TRANS = 'T', RDSCAL is not touched.
          NOTE: RDSCAL only makes sense when DTGSY2 is called by
                DTGSYL.
[out]IWORK
          IWORK is INTEGER array, dimension (M+N+2)
[out]PQ
          PQ is INTEGER
          On exit, the number of subsystems (of size 2-by-2, 4-by-4 and
          8-by-8) solved by this routine.
[out]INFO
          INFO is INTEGER
          On exit, if INFO is set to
            =0: Successful exit
            <0: If INFO = -i, the i-th argument had an illegal value.
            >0: The matrix pairs (A, D) and (B, E) have common or very
                close eigenvalues.
Author:
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
September 2012
Contributors:
Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden.

Definition at line 273 of file dtgsy2.f.

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