CSYSVX(3)

💖 CSYSVX(3) — Library Functions Manual 💖

okay so bestie, welcome to CSYSVX(3) from the Library Functions Manual 💅 this is the whole LAPACK symmetric-matrix situation, and we are gonna get through every single detail together, no cap.

🎀 NAME 🎀

the original NAME section is literally this path, and yes it's giving very "generated by the build system" energy:

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/csysvx.f

---

✨ SYNOPSIS ✨

🧚 Functions/Subroutines 🧚

subroutine CSYSVX (fact, uplo, n, nrhs, a, lda, af, ldaf, ipiv, b, ldb,
    x, ldx, rcond, ferr, berr, work, lwork, rwork, info)

CSYSVX computes the solution to system of linear equations A * X = B for SY matrices 💖

---

🦋 Function/Subroutine Documentation 🦋

subroutine CSYSVX (character fact, character uplo, integer n, integer nrhs,
    complex, dimension( lda, * ) a, integer lda, complex, dimension( ldaf, *
    ) af, integer ldaf, integer, dimension( * ) ipiv, complex, dimension(
    ldb, * ) b, integer ldb, complex, dimension( ldx, * ) x, integer ldx,
    real rcond, real, dimension( * ) ferr, real, dimension( * ) berr,
    complex, dimension( * ) work, integer lwork, real, dimension( * ) rwork,
    integer info)

CSYSVX computes the solution to system of linear equations A * X = B for SY matrices 🌸

🎯 Purpose

okay so 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, periodt.

🌈 Description

the following steps are performed, bestie, and yes this is the whole main-character sequence:

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. If some D(i,i)=0, so that D is exactly singular, then the routine returns with INFO = i. Otherwise, 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, 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.
4. Iterative refinement is applied to improve the computed solution matrix and calculate error bounds and backward error estimates for it 🦋

💅 Parameters

one parameter at a time, bestie, and yes every single one is here:

• FACT — FACT is CHARACTER*1. it 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 — UPLO is CHARACTER*1:
  • = 'U': upper triangle of A is stored;
  • = 'L': lower triangle of A is stored.
• N — N is INTEGER. the number of linear equations, i.e., the order of the matrix A. N >= 0.
• NRHS — NRHS is INTEGER. the number of right hand sides, i.e., the number of columns of the matrices B and X. NRHS >= 0.
• A — A is 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 — LDA is INTEGER. the leading dimension of the array A. LDA >= max(1,N).
• AF — AF is 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 — LDAF is INTEGER. the leading dimension of the array AF. LDAF >= max(1,N).
• IPIV — IPIV is 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) = 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.

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.

• B — B is COMPLEX array, dimension (LDB,NRHS). the N-by-NRHS right hand side matrix B.
• LDB — LDB is INTEGER. the leading dimension of the array B. LDB >= max(1,N).
• X — X is COMPLEX array, dimension (LDX,NRHS). If INFO = 0 or INFO = N+1, the N-by-NRHS solution matrix X.
• LDX — LDX is INTEGER. the leading dimension of the array X. LDX >= max(1,N).
• RCOND — RCOND is 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.
• FERR — FERR is 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.
• BERR — BERR is 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 — WORK is COMPLEX array, dimension (MAX(1,LWORK)). on exit, if INFO = 0, WORK(1) returns the optimal LWORK.
• LWORK — LWORK is INTEGER. the length of WORK. LWORK >= max(1,2*N), and for best performance, when FACT = 'N', LWORK >= max(1,2*N,N*NB), where NB is the optimal blocksize for CSYTRF.

If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this value as the first entry of the WORK array, and no error message related to LWORK is issued by XERBLA.

• RWORK — RWORK is REAL array, dimension (N).
• INFO — INFO is INTEGER:
  • = 0: successful exit
  • < 0: if INFO = -i, the i-th argument had an illegal value
  • > 0: if INFO = i, and i is
    • <= N: D(i,i) is exactly zero. The factorization has been completed but the factor D is exactly singular, so the solution and error bounds could not be computed. RCOND = 0 is returned.
    • = N+1: D 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.

👑 Author

• Univ. of Tennessee
• Univ. of California Berkeley
• Univ. of Colorado Denver
• NAG Ltd.

Definition at line 282 of file csysvx.f.

---

🌟 Author 🌟

Generated automatically by Doxygen for LAPACK from the source code.

---

this iconic page is serving LAPACK, Version 3.12.0, and the footer says /home/abui...RC/csysvx.f(3) — that's the whole vibe, bestie, bye and slay your linear algebra 💖✨