SRC/zgeqrt3.f(3)
SRC/zgeqrt3.f(3)
okay bestie, this page is from the Library Functions Manual and it's all about SRC/zgeqrt3.f(3) β a LAPACK recursive QR situation, and yes, we're gonna get into it. π
β¨
π NAME π
SRC/zgeqrt3.f
π¦ SYNOPSIS π¦
π§ Functions/Subroutines π§
recursive subroutine zgeqrt3 (m, n, a, lda, t, ldt, info)
ZGEQRT3 recursively computes a QR factorization of a general real or complex matrix using the compact WY representation of Q.
π₯ Function/Subroutine Documentation π₯
Here's the full signature, no cap:
recursive subroutine zgeqrt3 (integer m, integer n, complex*16, dimension( lda, * ) a, integer lda, complex*16, dimension( ldt, * ) t, integer ldt, integer info)
And yep, same energy again: ZGEQRT3 recursively computes a QR factorization of a general real or complex matrix using the compact WY representation of Q. π«Ά
β¨ Purpose β¨
ZGEQRT3 recursively computes a QR factorization of a complex M-by-N matrix A, using the compact WY representation of Q. π
Based on the algorithm of Elmroth and Gustavson, IBM J. Res. Develop. Vol 44 No. 4 July 2000. π₯
π Parameters π
MβM is INTEGER; it's the number of rows of the matrixA. Condition:M >= N.NβN is INTEGER; it's the number of columns of the matrixA. Condition:N >= 0.AβA is COMPLEX*16 array, dimension (LDA,N). On entry, it's the complex M-by-N matrixA. On exit, the elements on and above the diagonal contain the N-by-N upper triangular matrixR; the elements below the diagonal are the columns ofV. See below for further details.LDAβLDA is INTEGER; it's the leading dimension of the arrayA. Condition:LDA >= max(1,M).TβT is COMPLEX*16 array, dimension (LDT,N). It's the N-by-N upper triangular factor of the block reflector. The elements on and above the diagonal contain the block reflectorT; the elements below the diagonal are not used. See below for further details.LDTβLDT is INTEGER; it's the leading dimension of the arrayT. Condition:LDT >= max(1,N).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 matrix V stores the elementary reflectors H(i) in the i-th column below the diagonal. For example, if M=5 and N=3, the matrix V is:
V = ( 1 )
( v1 1 )
( v1 v2 1 )
( v1 v2 v3 )
( v1 v2 v3 )
where the vi's represent the vectors which define H(i), which are returned in the matrix A. The 1's along the diagonal of V are not stored in A. The block reflector H is then given by:
H = I - V * T * V**H
where V**H is the conjugate transpose of V. π
For details of the algorithm, see Elmroth and Gustavson (cited above). β¨
Definition at line 131 of file zgeqrt3.f.
π«Ά Author π«Ά
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