SRC/ctplqt2.f(3)

πŸ’– NAME πŸ’–

SRC/ctplqt2.f β€” yep, that's the page, and it's living in the Library Functions Manual. Bestie, this is the CTPLQT2 subroutine page. ✨

✨ SYNOPSIS ✨

🫢 Functions/Subroutines

subroutine ctplqt2 (m, n, l, a, lda, b, ldb, t, ldt, info)

CTPLQT2

🌸 Function/Subroutine Documentation 🌸

subroutine ctplqt2 (integer m, integer n, integer l, complex, dimension(
       lda, * ) a, integer lda, complex, dimension( ldb, * ) b, integer ldb,
       complex, dimension( ldt, * ) t, integer ldt, integer info)

CTPLQT2

πŸŽ€ Purpose πŸŽ€

Okay so CTPLQT2 computes an LQ factorization of a complex matrix C, which is composed of a triangular block A and a pentagonal block B, using the compact WY representation for Q. That's the whole purpose, slay. πŸ’…

πŸ’… Parameters πŸ’…

  • M β€” M is INTEGER. The total number of rows of the matrix B. M >= 0.
  • N β€” N is INTEGER. The number of columns of the matrix B, and the order of the triangular matrix A. N >= 0.
  • L β€” L is INTEGER. The number of rows of the lower trapezoidal part of B. MIN(M,N) >= L >= 0. See Further Details.
  • A β€” A is COMPLEX array, dimension (LDA,M). On entry, the lower triangular M-by-M matrix A. On exit, the elements on and below the diagonal of the array contain the lower triangular matrix L.
  • LDA β€” LDA is INTEGER. The leading dimension of the array A. LDA >= max(1,M).
  • B β€” B is COMPLEX array, dimension (LDB,N). On entry, the pentagonal M-by-N matrix B. The first N-L columns are rectangular, and the last L columns are lower trapezoidal. On exit, B contains the pentagonal matrix V. See Further Details.
  • LDB β€” LDB is INTEGER. The leading dimension of the array B. LDB >= max(1,M).
  • T β€” T is COMPLEX array, dimension (LDT,M). The N-by-N upper triangular factor T of the block reflector. See Further Details.
  • LDT β€” LDT is INTEGER. The leading dimension of the array T. LDT >= max(1,M).
  • INFO β€” INFO is INTEGER. = 0: successful exit. < 0: if INFO = -i, the i-th argument had an illegal value.

πŸ‘‘ Author πŸ‘‘

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

🌈 Further Details 🌈

The input matrix C is an M-by-(M+N) matrix:

C = [ A ][ B ]

where A is a lower triangular M-by-M matrix, and B is an M-by-N pentagonal matrix consisting of an M-by-(N-L) rectangular matrix B1 left of an M-by-L upper trapezoidal matrix B2:

B = [ B1 ][ B2 ]
    [ B1 ]  <-     M-by-(N-L) rectangular
    [ B2 ]  <-     M-by-L lower trapezoidal.

The lower trapezoidal matrix B2 consists of the first L columns of an N-by-N lower triangular matrix, where 0 <= L <= MIN(M,N). If L=0, B is rectangular M-by-N; if M=L=N, B is lower triangular.

The matrix W stores the elementary reflectors H(i) in the i-th row above the diagonal (of A) in the M-by-(M+N) input matrix C

C = [ A ][ B ]
    [ A ]  <- lower triangular M-by-M
    [ B ]  <- M-by-N pentagonal

so that W can be represented as

W = [ I ][ V ]
    [ I ]  <- identity, M-by-M
    [ V ]  <- M-by-N, same form as B.

Thus, all of information needed for W is contained on exit in B, which we call V above. Note that V has the same form as B; that is,

W = [ V1 ][ V2 ]
    [ V1 ] <-     M-by-(N-L) rectangular
    [ V2 ] <-     M-by-L lower trapezoidal.

The rows of V represent the vectors which define the H(i)'s. The (M+N)-by-(M+N) block reflector H is then given by

H = I - W**T * T * W

where W^H is the conjugate transpose of W and T is the upper triangular factor of the block reflector.

Definition at line 161 of file ctplqt2.f.

πŸ’€ Author πŸ’€

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