ManagedLapackOfSingle.RQDecompose Method

Definition

Namespace: Numerics.NET.LinearAlgebra.Implementation
Assembly: Numerics.NET.SinglePrecision (in Numerics.NET.SinglePrecision.dll) Version: 10.3.0

Overload List

RQDecompose(Int32, Int32, Array2D<TComplex>, Array1D<TComplex>, Int32) 
RQDecompose(Int32, Int32, Span2D<TComplex>, Span<TComplex>, Int32) 
RQDecompose(Int32, Int32, Array2D<TComplex>, Array1D<TComplex>, Int32)

Computes an RQ factorization of a complex M-by-N matrix A: A = R * Q.

RQDecompose(Int32, Int32, Span2D<TComplex>, Span<TComplex>, Int32)

Computes an RQ factorization of a complex M-by-N matrix A: A = R * Q.

RQDecompose(Int32, Int32, Span<Complex<Single>>, Int32, Span<Complex<Single>>, Int32)

Computes an RQ factorization of a complex M-by-N matrix A: A = R * Q.

RQDecompose(Int32, Int32, Span<Single>, Int32, Span<Single>, Int32)

Computes an RQ factorization of a complex M-by-N matrix A: A = R * Q.

RQDecompose(Int32, Int32, Span<Complex<Single>>, Int32, Span<Complex<Single>>, Int32)

Computes an RQ factorization of a complex M-by-N matrix A: A = R * Q.

C#
public override void RQDecompose(
	int m,
	int n,
	Span<Complex<float>> a,
	int lda,
	Span<Complex<float>> tau,
	out int info
)

Parameters

m  Int32
M is INTEGER The number of rows of the matrix A. M >= 0.
n  Int32
N is INTEGER The number of columns of the matrix A. N >= 0.
a  Span<Complex<Single>>
A is COMPLEX*16 array, dimension (LDA,N) On entry, the M-by-N matrix A. On exit, if m <= n, the upper triangle of the subarray A(1:m,n-m+1:n) contains the M-by-M upper triangular matrix R; if m >= n, the elements on and above the (m-n)-th subdiagonal contain the M-by-N upper trapezoidal matrix R; the remaining elements, with the array TAU, represent the unitary matrix Q as a product of min(m,n) elementary reflectors (see Further Details).
lda  Int32
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
tau  Span<Complex<Single>>
TAU is COMPLEX*16 array, dimension (min(M,N)) The scalar factors of the elementary reflectors (see Further Details).
info  Int32
INFO is INTEGER = 0: successful exit < 0: if INFO = -i, the i-th argument had an illegal value

Remarks

Further Details:

The matrix Q is represented as a product of elementary reflectors Q = H(1)**H H(2)**H . . . H(k)**H, where k = min(m,n). Each H(i) has the form H(i) = I - tau * v * v**H where tau is a complex scalar, and v is a complex vector with v(n-k+i+1:n) = 0 and v(n-k+i) = 1; conjg(v(1:n-k+i-1)) is stored on exit in A(m-k+i,1:n-k+i-1), and tau in TAU(i).

Authors: Univ. of Tennessee, Univ. of California Berkeley, Univ. of Colorado Denver, NAG Ltd.

Date: November 2011

RQDecompose(Int32, Int32, Span<Single>, Int32, Span<Single>, Int32)

Computes an RQ factorization of a complex M-by-N matrix A: A = R * Q.

C#
public override void RQDecompose(
	int m,
	int n,
	Span<float> a,
	int lda,
	Span<float> tau,
	out int info
)

Parameters

m  Int32
M is INTEGER The number of rows of the matrix A. M >= 0.
n  Int32
N is INTEGER The number of columns of the matrix A. N >= 0.
a  Span<Single>
A is COMPLEX*16 array, dimension (LDA,N) On entry, the M-by-N matrix A. On exit, if m <= n, the upper triangle of the subarray A(1:m,n-m+1:n) contains the M-by-M upper triangular matrix R; if m >= n, the elements on and above the (m-n)-th subdiagonal contain the M-by-N upper trapezoidal matrix R; the remaining elements, with the array TAU, represent the unitary matrix Q as a product of min(m,n) elementary reflectors (see Further Details).
lda  Int32
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M).
tau  Span<Single>
TAU is COMPLEX*16 array, dimension (min(M,N)) The scalar factors of the elementary reflectors (see Further Details).
info  Int32
INFO is INTEGER = 0: successful exit < 0: if INFO = -i, the i-th argument had an illegal value

Remarks

Further Details:

The matrix Q is represented as a product of elementary reflectors Q = H(1)**H H(2)**H . . . H(k)**H, where k = min(m,n). Each H(i) has the form H(i) = I - tau * v * v**H where tau is a complex scalar, and v is a complex vector with v(n-k+i+1:n) = 0 and v(n-k+i) = 1; conjg(v(1:n-k+i-1)) is stored on exit in A(m-k+i,1:n-k+i-1), and tau in TAU(i).

Authors: Univ. of Tennessee, Univ. of California Berkeley, Univ. of Colorado Denver, NAG Ltd.

Date: November 2011

See Also