qrdelete

Remove column or row from QR factorization

Syntax

[Q1,R1] = qrdelete(Q,R,j) [Q1,R1] = qrdelete(Q,R,j,'col') [Q1,R1] = qrdelete(Q,R,j,'row')

Description

[Q1,R1] = qrdelete(Q,R,j) returns the QR factorization of the matrix A1, where A1 is A with the column A(:,j) removed and [Q,R] = qr(A) is the QR factorization of A.

[Q1,R1] = qrdelete(Q,R,j,'col') is the same as qrdelete(Q,R,j).

[Q1,R1] = qrdelete(Q,R,j,'row') returns the QR factorization of the matrix A1, where A1 is A with the row A(j,:) removed and [Q,R] = qr(A) is the QR factorization of A.

Examples

A = magic(5);
[Q,R] = qr(A);
j = 3;
[Q1,R1] = qrdelete(Q,R,j,'row');

Q1 =
    0.5274   -0.5197   -0.6697   -0.0578
    0.7135    0.6911    0.0158    0.1142
    0.3102   -0.1982    0.4675   -0.8037
    0.3413   -0.4616    0.5768    0.5811

R1 =
   32.2335   26.0908   19.9482   21.4063   23.3297
         0  -19.7045  -10.9891    0.4318   -1.4873
         0         0   22.7444    5.8357   -3.1977
         0         0         0  -14.5784    3.7796

returns a valid QR factorization, although possibly different from

A2 = A;  
A2(j,:) = [];
[Q2,R2] = qr(A2)

Q2 =
   -0.5274    0.5197    0.6697   -0.0578
   -0.7135   -0.6911   -0.0158    0.1142
   -0.3102    0.1982   -0.4675   -0.8037
   -0.3413    0.4616   -0.5768    0.5811

R2 =
  -32.2335  -26.0908  -19.9482  -21.4063  -23.3297
         0   19.7045   10.9891   -0.4318    1.4873
         0         0  -22.7444   -5.8357    3.1977
         0         0         0  -14.5784    3.7796

Algorithms

The qrdelete function uses a series of Givens rotations to zero out the appropriate elements of the factorization. [1]

References

[1] Golub, Gene H., and Charles F. Van Loan. Matrix Computations. 4th ed. Baltimore, MD: Johns Hopkins University Press, 2013, Sections 6.5.2–6.5.3, pp. 335–338.

Extended Capabilities

expand all

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

Code generation does not support sparse matrix inputs for this function.
Code generation might return a different QR factorization than MATLAB^®. You can verify the Q and R values by using the equation Q*R = A.

Thread-Based Environment
Run code in the background using MATLAB® `backgroundPool` or accelerate code with Parallel Computing Toolbox™ `ThreadPool`.

This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.

Version History

Introduced before R2006a