gbmv(3)

🌸 NAME 🌸

gbmv(3) β€” from the Library Functions Manual β€” is the page for gbmv, aka gbmv: general matrix-vector multiply. Bestie, it’s literally the general matrix-vector multiply routine, and it’s lowkey iconic. πŸ’…βœ¨


✨ SYNOPSIS ✨

πŸŽ€ Functions πŸŽ€

  • cgbmv β€” CGBMV
subroutine cgbmv (trans, m, n, kl, ku, alpha, a, lda, x, incx, beta, y,
    incy)
  • dgbmv β€” DGBMV
subroutine dgbmv (trans, m, n, kl, ku, alpha, a, lda, x, incx, beta, y,
    incy)
  • sgbmv β€” SGBMV
subroutine sgbmv (trans, m, n, kl, ku, alpha, a, lda, x, incx, beta, y,
    incy)
  • zgbmv β€” ZGBMV
subroutine zgbmv (trans, m, n, kl, ku, alpha, a, lda, x, incx, beta, y,
    incy)

πŸ¦‹ Detailed Description πŸ¦‹

Okay so the detailed-description section is handing the mic straight to the function docs below. 🎀✨ No extra detour here, bestie β€” we’re going in.


🌈 Function Documentation 🌈

πŸ’œ cgbmv πŸ’œ

subroutine cgbmv (character trans, integer m, integer n, integer kl, integer
    ku, complex alpha, complex, dimension(lda,*) a, integer lda, complex,
    dimension(*) x, integer incx, complex beta, complex, dimension(*) y,
    integer incy)

CGBMV β€” yes bestie, that’s the label. πŸ‘‘

Purpose: CGBMV performs one of the matrix-vector operations:

y := alpha*A*x + beta*y,   or   y := alpha*A**T*x + beta*y,   or

y := alpha*A**H*x + beta*y,

where alpha and beta are scalars, x and y are vectors and A is an m by n band matrix, with kl sub-diagonals and ku super-diagonals. 🫢

πŸ“ Parameters πŸ“

  • TRANS β€” TRANS is CHARACTER*1. On entry, TRANS specifies the operation to be performed as follows:
    • TRANS = 'N' or 'n' β†’ y := alpha*A*x + beta*y.
    • TRANS = 'T' or 't' β†’ y := alpha*A**T*x + beta*y.
    • TRANS = 'C' or 'c' β†’ y := alpha*A**H*x + beta*y.
  • M β€” M is INTEGER. On entry, M specifies the number of rows of the matrix A. M must be at least zero.
  • N β€” N is INTEGER. On entry, N specifies the number of columns of the matrix A. N must be at least zero.
  • KL β€” KL is INTEGER. On entry, KL specifies the number of sub-diagonals of the matrix A. KL must satisfy 0 .le. KL.
  • KU β€” KU is INTEGER. On entry, KU specifies the number of super-diagonals of the matrix A. KU must satisfy 0 .le. KU.
  • ALPHA β€” ALPHA is COMPLEX. On entry, ALPHA specifies the scalar alpha.
  • A β€” A is COMPLEX array, dimension ( LDA, N ). Before entry, the leading ( kl + ku + 1 ) by n part of the array A must contain the matrix of coefficients, supplied column by column, with the leading diagonal of the matrix in row ( ku + 1 ) of the array, the first super-diagonal starting at position 2 in row ku, the first sub-diagonal starting at position 1 in row ( ku + 2 ), and so on. Elements in the array A that do not correspond to elements in the band matrix (such as the top left ku by ku triangle) are not referenced. The following program segment will transfer a band matrix from conventional full matrix storage to band storage:
                 DO 20, J = 1, N
                    K = KU + 1 - J
                    DO 10, I = MAX( 1, J - KU ), MIN( M, J + KL )
                       A( K + I, J ) = matrix( I, J )
              10    CONTINUE
              20 CONTINUE
  • LDA β€” LDA is INTEGER. On entry, LDA specifies the first dimension of A as declared in the calling (sub) program. LDA must be at least ( kl + ku + 1 ).
  • X β€” X is COMPLEX array, dimension at least ( 1 + ( n - 1 )*abs( INCX ) ) when TRANS = 'N' or 'n' and at least ( 1 + ( m - 1 )*abs( INCX ) ) otherwise. Before entry, the incremented array X must contain the vector x.
  • INCX β€” INCX is INTEGER. On entry, INCX specifies the increment for the elements of X. INCX must not be zero. Periodt. πŸ’€
  • BETA β€” BETA is COMPLEX. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input.
  • Y β€” Y is COMPLEX array, dimension at least ( 1 + ( m - 1 )*abs( INCY ) ) when TRANS = 'N' or 'n' and at least ( 1 + ( n - 1 )*abs( INCY ) ) otherwise. Before entry, the incremented array Y must contain the vector y. On exit, Y is overwritten by the updated vector y. If either m or n is zero, then Y not referenced and the function performs a quick return.
  • INCY β€” INCY is INTEGER. On entry, INCY specifies the increment for the elements of Y. INCY must not be zero. No cap. 🫢

πŸ‘‘ Author πŸ‘‘

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

🌟 Further Details: 🌟

  • Level 2 Blas routine.
  • The vector and matrix arguments are not referenced when N = 0, or M = 0
  • -- Written on 22-October-1986.
    • Jack Dongarra, Argonne National Lab.
    • Jeremy Du Croz, Nag Central Office.
    • Sven Hammarling, Nag Central Office.
    • Richard Hanson, Sandia National Labs.

Definition at line 188 of file cgbmv.f. πŸ’–


πŸ’™ dgbmv πŸ’™

subroutine dgbmv (character trans, integer m, integer n, integer kl, integer
    ku, double precision alpha, double precision, dimension(lda,*) a,
    integer lda, double precision, dimension(*) x, integer incx, double
    precision beta, double precision, dimension(*) y, integer incy)

DGBMV β€” the double-precision sibling is here, and yes, it ate. πŸ‘‘

Purpose: DGBMV performs one of the matrix-vector operations:

y := alpha*A*x + beta*y,   or   y := alpha*A**T*x + beta*y,

where alpha and beta are scalars, x and y are vectors and A is an m by n band matrix, with kl sub-diagonals and ku super-diagonals. 🫢

πŸ“ Parameters πŸ“

  • TRANS β€” TRANS is CHARACTER*1. On entry, TRANS specifies the operation to be performed as follows:
    • TRANS = 'N' or 'n' β†’ y := alpha*A*x + beta*y.
    • TRANS = 'T' or 't' β†’ y := alpha*A**T*x + beta*y.
    • TRANS = 'C' or 'c' β†’ y := alpha*A**T*x + beta*y.
  • M β€” M is INTEGER. On entry, M specifies the number of rows of the matrix A. M must be at least zero.
  • N β€” N is INTEGER. On entry, N specifies the number of columns of the matrix A. N must be at least zero.
  • KL β€” KL is INTEGER. On entry, KL specifies the number of sub-diagonals of the matrix A. KL must satisfy 0 .le. KL.
  • KU β€” KU is INTEGER. On entry, KU specifies the number of super-diagonals of the matrix A. KU must satisfy 0 .le. KU.
  • ALPHA β€” ALPHA is DOUBLE PRECISION. On entry, ALPHA specifies the scalar alpha.
  • A β€” A is DOUBLE PRECISION array, dimension ( LDA, N ). Before entry, the leading ( kl + ku + 1 ) by n part of the array A must contain the matrix of coefficients, supplied column by column, with the leading diagonal of the matrix in row ( ku + 1 ) of the array, the first super-diagonal starting at position 2 in row ku, the first sub-diagonal starting at position 1 in row ( ku + 2 ), and so on. Elements in the array A that do not correspond to elements in the band matrix (such as the top left ku by ku triangle) are not referenced. The following program segment will transfer a band matrix from conventional full matrix storage to band storage:
                 DO 20, J = 1, N
                    K = KU + 1 - J
                    DO 10, I = MAX( 1, J - KU ), MIN( M, J + KL )
                       A( K + I, J ) = matrix( I, J )
              10    CONTINUE
              20 CONTINUE
  • LDA β€” LDA is INTEGER. On entry, LDA specifies the first dimension of A as declared in the calling (sub) program. LDA must be at least ( kl + ku + 1 ).
  • X β€” X is DOUBLE PRECISION array, dimension at least ( 1 + ( n - 1 )*abs( INCX ) ) when TRANS = 'N' or 'n' and at least ( 1 + ( m - 1 )*abs( INCX ) ) otherwise. Before entry, the incremented array X must contain the vector x.
  • INCX β€” INCX is INTEGER. On entry, INCX specifies the increment for the elements of X. INCX must not be zero. Literally not zero, bestie. πŸ’€
  • BETA β€” BETA is DOUBLE PRECISION. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input.
  • Y β€” Y is DOUBLE PRECISION array, dimension at least ( 1 + ( m - 1 )*abs( INCY ) ) when TRANS = 'N' or 'n' and at least ( 1 + ( n - 1 )*abs( INCY ) ) otherwise. Before entry, the incremented array Y must contain the vector y. On exit, Y is overwritten by the updated vector y. If either m or n is zero, then Y not referenced and the function performs a quick return.
  • INCY β€” INCY is INTEGER. On entry, INCY specifies the increment for the elements of Y. INCY must not be zero. Periodt. 🫢

πŸ‘‘ Author πŸ‘‘

  • Univ. of Tennessee

πŸ‘‘ Author

Bestie, this one's got the whole academic avengers squad behind it:

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

πŸ” Further Details

  • Level 2 Blas routine.
  • The vector and matrix arguments are not referenced when N = 0, or M = 0.
  • -- Written on 22-October-1986.
    • Jack Dongarra, Argonne National Lab.
    • Jeremy Du Croz, Nag Central Office.
    • Sven Hammarling, Nag Central Office.
    • Richard Hanson, Sandia National Labs.

Definition at line 186 of file dgbmv.f.


πŸ’œ subroutine sgbmv

subroutine sgbmv (character trans, integer m, integer n, integer kl, integer
    ku, real alpha, real, dimension(lda,*) a, integer lda, real,
    dimension(*) x, integer incx, real beta, real, dimension(*) y, integer
    incy)

🌸 SGBMV

Purpose

SGBMV performs one of the matrix-vector operations

y := alpha*A*x + beta*y,   or   y := alpha*A**T*x + beta*y,

where alpha and beta are scalars, x and y are vectors and A is an m by n band matrix, with kl sub-diagonals and ku super-diagonals. That's the whole vibe. ✨


Parameters

  • TRANS β€” is CHARACTER*1. On entry, TRANS specifies the operation to be performed as follows:
    • TRANS = 'N' or 'n' β†’ y := alpha*A*x + beta*y.
    • TRANS = 'T' or 't' β†’ y := alpha*A**T*x + beta*y.
    • TRANS = 'C' or 'c' β†’ y := alpha*A**T*x + beta*y.
  • M β€” is INTEGER. On entry, M specifies the number of rows of the matrix A. M must be at least zero.
  • N β€” is INTEGER. On entry, N specifies the number of columns of the matrix A. N must be at least zero.
  • KL β€” is INTEGER. On entry, KL specifies the number of sub-diagonals of the matrix A. KL must satisfy 0 .le. KL.
  • KU β€” is INTEGER. On entry, KU specifies the number of super-diagonals of the matrix A. KU must satisfy 0 .le. KU.
  • ALPHA β€” is REAL. On entry, ALPHA specifies the scalar alpha.
  • A β€” is REAL array, dimension ( LDA, N ). Before entry, the leading ( kl + ku + 1 ) by n part of the array A must contain the matrix of coefficients, supplied column by column, with the leading diagonal of the matrix in row ( ku + 1 ) of the array, the first super-diagonal starting at position 2 in row ku, the first sub-diagonal starting at position 1 in row ( ku + 2 ), and so on. Elements in the array A that do not correspond to elements in the band matrix (such as the top left ku by ku triangle) are not referenced. The following program segment will transfer a band matrix from conventional full matrix storage to band storage:
      DO 20, J = 1, N
         K = KU + 1 - J
         DO 10, I = MAX( 1, J - KU ), MIN( M, J + KL )
            A( K + I, J ) = matrix( I, J )
   10    CONTINUE
   20 CONTINUE
  • LDA β€” is INTEGER. On entry, LDA specifies the first dimension of A as declared in the calling (sub) program. LDA must be at least ( kl + ku + 1 ).
  • X β€” is REAL array, dimension at least ( 1 + ( n - 1 )*abs( INCX ) ) when TRANS = 'N' or 'n' and at least ( 1 + ( m - 1 )*abs( INCX ) ) otherwise. Before entry, the incremented array X must contain the vector x.
  • INCX β€” is INTEGER. On entry, INCX specifies the increment for the elements of X. INCX must not be zero. 🚫
  • BETA β€” is REAL. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input. (Free pass, iykyk πŸ’…)
  • Y β€” is REAL array, dimension at least ( 1 + ( m - 1 )*abs( INCY ) ) when TRANS = 'N' or 'n' and at least ( 1 + ( n - 1 )*abs( INCY ) ) otherwise. Before entry, the incremented array Y must contain the vector y. On exit, Y is overwritten by the updated vector y. If either m or n is zero, then Y not referenced and the function performs a quick return. πŸƒβ€β™€οΈπŸ’¨
  • INCY β€” is INTEGER. On entry, INCY specifies the increment for the elements of Y. INCY must not be zero.

πŸ‘‘ Author

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

πŸ” Further Details

  • Level 2 Blas routine.
  • The vector and matrix arguments are not referenced when N = 0, or M = 0.
  • -- Written on 22-October-1986.
    • Jack Dongarra, Argonne National Lab.
    • Jeremy Du Croz, Nag Central Office.
    • Sven Hammarling, Nag Central Office.
    • Richard Hanson, Sandia National Labs.

Definition at line 186 of file sgbmv.f.


πŸ¦‹ subroutine zgbmv

subroutine zgbmv (character trans, integer m, integer n, integer kl, integer
    ku, complex*16 alpha, complex*16, dimension(lda,*) a, integer lda,
    complex*16, dimension(*) x, integer incx, complex*16 beta, complex*16,
    dimension(*) y, integer incy)

πŸ’œ ZGBMV

Purpose

ZGBMV performs one of the matrix-vector operations

y := alpha*A*x + beta*y,   or   y := alpha*A**T*x + beta*y,   or
y := alpha*A**H*x + beta*y,

where alpha and beta are scalars, x and y are vectors and A is an m by n band matrix, with kl sub-diagonals and ku super-diagonals. Three flavours, pick your fighter. βœ¨πŸ’…


Parameters

  • TRANS β€” is CHARACTER*1. On entry, TRANS specifies the operation to be performed as follows:
    • TRANS = 'N' or 'n' β†’ y := alpha*A*x + beta*y.
    • TRANS = 'T' or 't' β†’ y := alpha*A**T*x + beta*y.
    • TRANS = 'C' or 'c' β†’ y := alpha*A**H*x + beta*y.
Heads up bestie β€” for the complex one, 'C' gives you the conjugate transpose A**H, not just the plain transpose like in sgbmv. Different vibe entirely. 🫢
  • M β€” is INTEGER. On entry, M specifies the number of rows of the matrix A. M must be at least zero.
  • N β€” is INTEGER. On entry, N specifies the number of columns of the matrix A. N must be at least zero.
  • KL β€” is INTEGER. On entry, KL specifies the number of sub-diagonals of the matrix A. KL must satisfy 0 .le. KL.
  • KU β€” is INTEGER. On entry, KU specifies the number of super-diagonals of the matrix A. KU must satisfy 0 .le. KU.
  • ALPHA β€” is COMPLEX*16. On entry, ALPHA specifies the scalar alpha.
  • A β€” is COMPLEX*16 array, dimension ( LDA, N ). Before entry, the leading ( kl + ku + 1 ) by n part of the array A must contain the matrix of coefficients, supplied column by column, with the leading diagonal of the matrix in row ( ku + 1 ) of the array, the first super-diagonal starting at position 2 in row ku, the first sub-diagonal starting at position 1 in row ( ku + 2 ), and so on. Elements in the array A that do not correspond to elements in the band matrix (such as the top left ku by ku triangle) are not referenced. The following program segment will transfer a band matrix from conventional full matrix storage to band storage:
      DO 20, J = 1, N
         K = KU + 1 - J
         DO 10, I = MAX( 1, J - KU ), MIN( M, J + KL )
            A( K + I, J ) = matrix( I, J )
   10    CONTINUE
   20 CONTINUE
  • LDA β€” is INTEGER. On entry, LDA specifies the first dimension of A as declared in the calling (sub) program. LDA must be at least ( kl + ku + 1 ).
  • X β€” is COMPLEX*16 array, dimension at least ( 1 + ( n - 1 )*abs( INCX ) ) when TRANS = 'N' or 'n' and at least ( 1 + ( m - 1 )*abs( INCX ) ) otherwise. Before entry, the incremented array X must contain the vector x.
  • INCX β€” is INTEGER. On entry, INCX specifies the increment for the elements of X. INCX must not be zero. 🚫
  • BETA β€” is COMPLEX*16. On entry, BETA specifies the scalar beta. When BETA is supplied as zero then Y need not be set on input.
  • Y β€” is COMPLEX*16 array, dimension at least ( 1 + ( m - 1 )*abs( INCY ) ) when TRANS = 'N' or 'n' and at least ( 1 + ( n - 1 )*abs( INCY ) ) otherwise. Before entry, the incremented array Y must contain the vector y. On exit, Y is overwritten by the updated vector y. If either m or n is zero, then Y not referenced and the function performs a quick return. πŸƒβ€β™€οΈπŸ’¨
  • INCY β€” is INTEGER. On entry, INCY specifies the increment for the elements of Y. INCY must not be zero.

πŸ‘‘ Author

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

πŸ” Further Details

Okay so the source file literally opens with this precious little Fortran comment block πŸ’– and it’s giving β€œreceipts from the Unix elders” β€” here’s every crumb:

  • Level 2 Blas routine. β€” that’s the whole vibe check, no cap.
  • The vector and matrix arguments are not referenced when N = 0, or M = 0 🫢 (so if either one is zero, those args get zero attention, periodt).
  • -- Written on 22-October-1986. by:
    • Jack Dongarra, Argonne National Lab.
    • Jeremy Du Croz, Nag Central Office.
    • Sven Hammarling, Nag Central Office.
    • Richard Hanson, Sandia National Labs.

And the file itself? Definition at line 188 of file zgbmv.f. β€” screenshot that for the group chat πŸ“Έβœ¨


πŸ‘‘ Author πŸ‘‘

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