qrinsert

Insert column or row into QR factorization

Syntax

[Q1,R1] = qrinsert(Q,R,j,x) [Q1,R1] = qrinsert(Q,R,j,x,"col") [Q1,R1] = qrinsert(Q,R,j,x,"row")

Description

[Q1,R1] = qrinsert(Q,R,j,x) returns the QR factorization of the matrix A1, where A1 is A = Q*R with the column x inserted before A(:,j). If A has n columns and j = n+1, then x is inserted after the last column of A. If A and x have different data types, then Q1 and R1 have the same data type as A.

[Q1,R1] = qrinsert(Q,R,j,x,"col") is equivalent to [Q1,R1] = qrinsert(Q,R,j,x).

[Q1,R1] = qrinsert(Q,R,j,x,"row") returns the QR factorization of the matrix A1, where A1 is A = Q*R with an extra row, x, inserted before A(j,:).

Examples

Given the QR factorization of a 5-by-5 matrix, return the QR factorization of that matrix with a row inserted into it, using one function call to qrinsert.

A = magic(5);  
[Q,R] = qr(A);
j = 3; 
x = 1:5;
[Q1,R1] = qrinsert(Q,R,j,x,"row")

Q1 =
    0.5231    0.5039   -0.6750    0.1205    0.0411    0.0225
    0.7078   -0.6966    0.0190   -0.0788    0.0833   -0.0150
    0.0308    0.0592    0.0656    0.1169    0.1527   -0.9769
    0.1231    0.1363    0.3542    0.6222    0.6398    0.2104
    0.3077    0.1902    0.4100    0.4161   -0.7264   -0.0150
    0.3385    0.4500    0.4961   -0.6366    0.1761    0.0225

R1 =
   32.4962   26.6801   21.4795   23.8182   26.0031
         0   19.9292   12.4403    2.1340    4.3271
         0         0   24.4514   11.8132    3.9931
         0         0         0   20.2382   10.3392
         0         0         0         0   16.1948
         0         0         0         0         0

The qrinsert function returns a valid QR factorization. However, the factorization results may vary if you explicitly insert the row into the original matrix and then calculate its QR factorization using a function call to qr.

A2 = [A(1:j-1,:); x; A(j:end,:)];
[Q2,R2] = qr(A2)

Q2 =
   -0.5231    0.5039    0.6750   -0.1205    0.0411    0.0225
   -0.7078   -0.6966   -0.0190    0.0788    0.0833   -0.0150
   -0.0308    0.0592   -0.0656   -0.1169    0.1527   -0.9769
   -0.1231    0.1363   -0.3542   -0.6222    0.6398    0.2104
   -0.3077    0.1902   -0.4100   -0.4161   -0.7264   -0.0150
   -0.3385    0.4500   -0.4961    0.6366    0.1761    0.0225

R2 =
  -32.4962  -26.6801  -21.4795  -23.8182  -26.0031
         0   19.9292   12.4403    2.1340    4.3271
         0         0  -24.4514  -11.8132   -3.9931
         0         0         0  -20.2382  -10.3392
         0         0         0         0   16.1948
         0         0         0         0         0

Algorithms

The qrinsert function inserts the values of x into the jth column (or row) of R. It then uses a series of Givens rotations to change the nonzero elements of R on and below the diagonal in the jth column (or row) to zero. [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