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- CSYSVX - use the diagonal pivoting factorization to compute the solution
- to a complex system of linear equations A * X = B,
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- SUBROUTINE CSYSVX( FACT, UPLO, N, NRHS, A, LDA, AF, LDAF, IPIV, B, LDB,
- X, LDX, RCOND, FERR, BERR, WORK, LWORK, RWORK, INFO )
-
- CHARACTER FACT, UPLO
-
- INTEGER INFO, LDA, LDAF, LDB, LDX, LWORK, N, NRHS
-
- REAL RCOND
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- INTEGER IPIV( * )
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- REAL BERR( * ), FERR( * ), RWORK( * )
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- COMPLEX A( LDA, * ), AF( LDAF, * ), B( LDB, * ), WORK( * ), X(
- LDX, * )
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- PPPPUUUURRRRPPPPOOOOSSSSEEEE
- CSYSVX uses the diagonal pivoting factorization to compute the solution
- to a complex system of linear equations A * X = B, where A is an N-by-N
- symmetric matrix and X and B are N-by-NRHS matrices.
-
- Error bounds on the solution and a condition estimate are also provided.
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- The following steps are performed:
-
- 1. If FACT = 'N', the diagonal pivoting method is used to factor A.
- The form of the factorization is
- A = U * D * U**T, if UPLO = 'U', or
- A = L * D * L**T, if UPLO = 'L',
- where U (or L) is a product of permutation and unit upper (lower)
- triangular matrices, and D is symmetric and block diagonal with
- 1-by-1 and 2-by-2 diagonal blocks.
-
- 2. The factored form of A is used to estimate the condition number
- of the matrix A. If the reciprocal of the condition number is
- less than machine precision, steps 3 and 4 are skipped.
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- 3. The system of equations is solved for X using the factored form
- of A.
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- 4. Iterative refinement is applied to improve the computed solution
- matrix and calculate error bounds and backward error estimates
- for it.
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- FACT (input) CHARACTER*1
- Specifies whether or not the factored form of A has been supplied
- on entry. = 'F': On entry, AF and IPIV contain the factored
- form of A. A, AF and IPIV will not be modified. = 'N': The
- matrix A will be copied to AF and factored.
-
- UPLO (input) CHARACTER*1
- = 'U': Upper triangle of A is stored;
- = 'L': Lower triangle of A is stored.
-
- N (input) INTEGER
- The number of linear equations, i.e., the order of the matrix A.
- N >= 0.
-
- NRHS (input) INTEGER
- The number of right hand sides, i.e., the number of columns of
- the matrices B and X. NRHS >= 0.
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- A (input) COMPLEX 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.
-
- LDA (input) INTEGER
- The leading dimension of the array A. LDA >= max(1,N).
-
- AF (input or output) COMPLEX array, dimension (LDAF,N)
- If FACT = 'F', then AF is an input argument and on entry contains
- the block diagonal matrix D and the multipliers used to obtain
- the factor U or L from the factorization A = U*D*U**T or A =
- L*D*L**T as computed by CSYTRF.
-
- If FACT = 'N', then AF is an output argument and on exit returns
- the block diagonal matrix D and the multipliers used to obtain
- the factor U or L from the factorization A = U*D*U**T or A =
- L*D*L**T.
-
- LDAF (input) INTEGER
- The leading dimension of the array AF. LDAF >= max(1,N).
-
- IPIV (input or output) INTEGER array, dimension (N)
- If FACT = 'F', then IPIV is an input argument and on entry
- contains details of the interchanges and the block structure of
- D, as determined by CSYTRF. If IPIV(k) > 0, then rows and
- columns k and IPIV(k) were interchanged and D(k,k) is a 1-by-1
- diagonal block. If UPLO = 'U' and IPIV(k) = IPIV(k-1) < 0, then
- rows and columns k-1 and -IPIV(k) were interchanged and D(k-
- 1:k,k-1:k) is a 2-by-2 diagonal block. If UPLO = 'L' and IPIV(k)
-
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- = IPIV(k+1) < 0, then rows and columns k+1 and -IPIV(k) were
- interchanged and D(k:k+1,k:k+1) is a 2-by-2 diagonal block.
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- If FACT = 'N', then IPIV is an output argument and on exit
- contains details of the interchanges and the block structure of
- D, as determined by CSYTRF.
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- B (input) COMPLEX array, dimension (LDB,NRHS)
- The N-by-NRHS right hand side matrix B.
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- LDB (input) INTEGER
- The leading dimension of the array B. LDB >= max(1,N).
-
- X (output) COMPLEX array, dimension (LDX,NRHS)
- If INFO = 0, the N-by-NRHS solution matrix X.
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- LDX (input) INTEGER
- The leading dimension of the array X. LDX >= max(1,N).
-
- RCOND (output) REAL
- The estimate of the reciprocal condition number of the matrix A.
- If RCOND is less than the machine precision (in particular, if
- RCOND = 0), the matrix is singular to working precision. This
- condition is indicated by a return code of INFO > 0, and the
- solution and error bounds are not computed.
-
- FERR (output) REAL array, dimension (NRHS)
- The estimated forward error bound for each solution vector X(j)
- (the j-th column of the solution matrix X). If XTRUE is the true
- solution corresponding to X(j), FERR(j) is an estimated upper
- bound for the magnitude of the largest element in (X(j) - XTRUE)
- divided by the magnitude of the largest element in X(j). The
- estimate is as reliable as the estimate for RCOND, and is almost
- always a slight overestimate of the true error.
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- BERR (output) REAL array, dimension (NRHS)
- The componentwise relative backward error of each solution vector
- X(j) (i.e., the smallest relative change in any element of A or B
- that makes X(j) an exact solution).
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- WORK (workspace/output) COMPLEX array, dimension (LWORK)
- On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
-
- LWORK (input) INTEGER
- The length of WORK. LWORK >= 2*N, and for best performance LWORK
- >= N*NB, where NB is the optimal blocksize for CSYTRF.
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- RWORK (workspace) REAL array, dimension (N)
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- INFO (output) INTEGER
- = 0: successful exit
- < 0: if INFO = -i, the i-th argument had an illegal value
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- > 0: if INFO = i, and i is
- <= N: D(i,i) is exactly zero. The factorization has been
- completed, but the block diagonal matrix D is exactly singular,
- so the solution and error bounds could not be computed. = N+1:
- the block diagonal matrix D is nonsingular, but RCOND is less
- than machine precision. The factorization has been completed,
- but the matrix is singular to working precision, so the solution
- and error bounds have not been computed.
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