QR Decomposition.
Decompose a matrix A, whose dimension is m×n, where m≥n, into components Q and R, such that A = Q × R, and
Q is an orthogonal matrix (its columns are orthogonal unit vectors, that is, QT = Q-1 ), whose dimension is m×m, and
R is an upper triangular matrix, whose dimension is m×n.
Decompose a matrix A, whose dimension is m×n, where m≥n, into components Q and R, such that A = Q × R, and
Q is an orthogonal matrix (its columns are orthogonal unit vectors, that is, QT = Q-1 ), whose dimension is m×m, and
R is an upper triangular matrix, whose dimension is m×n.
Dimension of the matrix : ×
A =
We are working hard to finish it, and you will be able to use it soon.
We are working hard to finish it, and you will be able to use it soon.