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- CPTSVX - use the factorization A = L*D*L**H to compute the solution to a
- complex system of linear equations A*X = B, where A is an N-by-N
- Hermitian positive definite tridiagonal matrix and X and B are N-by-NRHS
- matrices
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- SSSSYYYYNNNNOOOOPPPPSSSSIIIISSSS
- SUBROUTINE CPTSVX( FACT, N, NRHS, D, E, DF, EF, B, LDB, X, LDX, RCOND,
- FERR, BERR, WORK, RWORK, INFO )
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- CHARACTER FACT
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- INTEGER INFO, LDB, LDX, N, NRHS
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- REAL RCOND
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- REAL BERR( * ), D( * ), DF( * ), FERR( * ), RWORK( * )
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- COMPLEX B( LDB, * ), E( * ), EF( * ), WORK( * ), X( LDX, * )
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- IIIIMMMMPPPPLLLLEEEEMMMMEEEENNNNTTTTAAAATTTTIIIIOOOONNNN
- These routines are part of the SCSL Scientific Library and can be loaded
- using either the -lscs or the -lscs_mp option. The -lscs_mp option
- directs the linker to use the multi-processor version of the library.
-
- When linking to SCSL with -lscs or -lscs_mp, the default integer size is
- 4 bytes (32 bits). Another version of SCSL is available in which integers
- are 8 bytes (64 bits). This version allows the user access to larger
- memory sizes and helps when porting legacy Cray codes. It can be loaded
- by using the -lscs_i8 option or the -lscs_i8_mp option. A program may use
- only one of the two versions; 4-byte integer and 8-byte integer library
- calls cannot be mixed.
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- PPPPUUUURRRRPPPPOOOOSSSSEEEE
- CPTSVX uses the factorization A = L*D*L**H to compute the solution to a
- complex system of linear equations A*X = B, where A is an N-by-N
- Hermitian positive definite tridiagonal 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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- DDDDEEEESSSSCCCCRRRRIIIIPPPPTTTTIIIIOOOONNNN
- The following steps are performed:
-
- 1. If FACT = 'N', the matrix A is factored as A = L*D*L**H, where L
- is a unit lower bidiagonal matrix and D is diagonal. The
- factorization can also be regarded as having the form
- A = U**H*D*U.
-
- 2. If the leading i-by-i principal minor is not positive definite,
- then the routine returns with INFO = i. Otherwise, the factored
- form of A is used to estimate the condition number of the matrix
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- A. If the reciprocal of the condition number is less than machine
- precision, INFO = N+1 is returned as a warning, but the routine
- still goes on to solve for X and compute error bounds as
- described below.
-
- 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 the matrix A is
- supplied on entry. = 'F': On entry, DF and EF contain the
- factored form of A. D, E, DF, and EF will not be modified. =
- 'N': The matrix A will be copied to DF and EF and factored.
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- N (input) INTEGER
- 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.
-
- D (input) REAL array, dimension (N)
- The n diagonal elements of the tridiagonal matrix A.
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- E (input) COMPLEX array, dimension (N-1)
- The (n-1) subdiagonal elements of the tridiagonal matrix A.
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- DF (input or output) REAL array, dimension (N)
- If FACT = 'F', then DF is an input argument and on entry contains
- the n diagonal elements of the diagonal matrix D from the
- L*D*L**H factorization of A. If FACT = 'N', then DF is an output
- argument and on exit contains the n diagonal elements of the
- diagonal matrix D from the L*D*L**H factorization of A.
-
- EF (input or output) COMPLEX array, dimension (N-1)
- If FACT = 'F', then EF is an input argument and on entry contains
- the (n-1) subdiagonal elements of the unit bidiagonal factor L
- from the L*D*L**H factorization of A. If FACT = 'N', then EF is
- an output argument and on exit contains the (n-1) subdiagonal
- elements of the unit bidiagonal factor L from the L*D*L**H
- factorization of A.
-
- 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 or INFO = N+1, the N-by-NRHS solution matrix X.
-
- LDX (input) INTEGER
- The leading dimension of the array X. LDX >= max(1,N).
-
- RCOND (output) REAL
- 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.
-
- FERR (output) REAL array, dimension (NRHS)
- The 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).
-
- 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).
-
- WORK (workspace) COMPLEX array, dimension (N)
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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
- > 0: if INFO = i, and i is
- <= N: the leading minor of order i of A is not positive
- definite, so the factorization could not be completed, and the
- solution has not been computed. RCOND = 0 is returned. = N+1: U
- is nonsingular, but RCOND is less than machine precision, meaning
- that the matrix is singular to working precision. Nevertheless,
- the solution and error bounds are computed because there are a
- number of situations where the computed solution can be more
- accurate than the value of RCOND would suggest.
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- SSSSEEEEEEEE AAAALLLLSSSSOOOO
- INTRO_LAPACK(3S), INTRO_SCSL(3S)
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- This man page is available only online.
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