SERRED(3)

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

okay bestie, welcome to serred.f(3) from the Library Functions Manual β€” this is the SERRED(3) page and it's giving β€œniche LAPACK test routine” in the most iconic way πŸ’…βœ¨

πŸ’– NAME

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/TESTING/EIG/serred.f

✨ SYNOPSIS ✨

🧚 Functions/Subroutines

subroutine SERRED (path, nunit)
    SERRED

πŸŽ€ Function/Subroutine Documentation πŸŽ€

🌟 subroutine SERRED (character*3 path, integer nunit)

SERRED β€” that's the name, no notes πŸ’«

🎯 Purpose

SERRED tests the error exits for the eigenvalue driver routines for REAL matrices:

the mapping is PATH β†’ driver β†’ description, and here's every row, bestie:

  • PATH β†’ driver β†’ description
  • SEV β†’ SGEEV β€” find eigenvalues/eigenvectors for nonsymmetric A
  • SES β†’ SGEES β€” find eigenvalues/Schur form for nonsymmetric A
  • SVX β†’ SGEEVX β€” SGEEV + balancing and condition estimation
  • SSX β†’ SGEESX β€” SGEES + balancing and condition estimation
  • SBD β†’ SGESVD β€” compute SVD of an M-by-N matrix A
  • (blank PATH in the original) β†’ SGESDD β€” compute SVD of an M-by-N matrix A (by divide and conquer)
  • (blank PATH in the original) β†’ SGEJSV β€” compute SVD of an M-by-N matrix A where M >= N
  • (blank PATH in the original) β†’ SGESVDX β€” compute SVD of an M-by-N matrix A(by bisection and inverse iteration)
  • (blank PATH in the original) β†’ SGESVDQ β€” compute SVD of an M-by-N matrix A(with a QR-Preconditioned )

🧾 Parameters

  • PATH β€” PATH is CHARACTER*3; The LAPACK path name for the routines to be tested.
  • NUNIT β€” NUNIT is INTEGER; The unit number for output.

πŸ‘‘ Author

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

Definition at line 69 of file serred.f.

πŸͺ„ Author

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okay that's the whole page, bestie 🫢 β€” footer recap: LAPACK, Version 3.12.0, /home/abui...IG/serred.f(3). slay and goodbye πŸ’…πŸ’–

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