SRC/ctplqt2.f(3)
π NAME π
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. β¨
β¨ SYNOPSIS β¨
π«Ά Functions/Subroutines
subroutine ctplqt2 (m, n, l, a, lda, b, ldb, t, ldt, info)
CTPLQT2
πΈ Function/Subroutine Documentation πΈ
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
π Purpose π
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. π
π Parameters π
MβM is INTEGER. The total number of rows of the matrix B.M >= 0.NβN is INTEGER. The number of columns of the matrix B, and the order of the triangular matrix A.N >= 0.LβL is INTEGER. The number of rows of the lower trapezoidal part of B.MIN(M,N) >= L >= 0. See Further Details.AβA 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.LDAβLDA is INTEGER. The leading dimension of the array A.LDA >= max(1,M).BβB 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.LDBβLDB is INTEGER. The leading dimension of the array B.LDB >= max(1,M).TβT is COMPLEX array, dimension (LDT,M). The N-by-N upper triangular factor T of the block reflector. See Further Details.LDTβLDT is INTEGER. The leading dimension of the array T.LDT >= max(1,M).INFOβINFO is INTEGER.= 0: successful exit.< 0: ifINFO = -i, the i-th argument had an illegal value.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Further Details π
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.
π Author π
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