## Matrix Inversion Using PL/SQL

Recently someone asked me how to invert a matrix using the UTL_NLA PL/SQL package. This can be done by solving a system of linear equations AX = B like the ones I described in this post but setting B to the identity matrix. I thought that the question was interesting enough to deserve its own post. So I am replicating the answer here for those interested.

The UTL_NLA package has many different procedures for solving systems of linear equations. Most of them are designed to take advantage of special form matrices (e.g., triangular, banded, etc.). For the example below, I picked the procedure LAPACK_GELS. This procedure solves general systems of linear equations in a robust fashion. It uses QR or LQ decompositions as needed.

DECLARE A utl_nla_array_dbl := utl_nla_array_dbl( 5, 153, 352, 153, 5899, 9697, 352, 9697, 26086); B utl_nla_array_dbl := utl_nla_array_dbl( 1, 0, 0, 0, 1, 0, 0, 0, 1); ipiv utl_nla_array_int := utl_nla_array_int(0,0); info integer; n NUMBER := 3; i NUMBER; j NUMBER; BEGIN UTL_NLA.LAPACK_GELS ( trans => 'N', -- solve for A instead of A' m => n, -- A number of rows n => n, -- A number of columns nrhs => n, -- B number of columns a => A, -- matrix A lda => n, -- max(1, m) b => B, -- matrix B ldb => n, -- ldb >= max(1, m, n) info => info, -- operation status (0=sucess) pack => 'R' -- how the matrices are stored -- (C=column-wise) ); dbms_output.put_line('inv(A)'); dbms_output.put_line('-------------'); dbms_output.put_line('info= '||info); IF info=0 THEN FOR l IN 1..B.count LOOP i := ceil(l/n); j := l-(i-1)*n; dbms_output.put_line('x[' || i ||']['||j||']= ' || TO_CHAR(B(l),'99.9999')); END LOOP; END IF; END; /Here is the output for the above code:

inv(A) ------------- info= 0 x[1][1]= 27.5307 x[1][2]= -.2658 x[1][3]= -.2727 x[2][1]= -.2658 x[2][2]= .0030 x[2][3]= .0025 x[3][1]= -.2727 x[3][2]= .0025 x[3][3]= .0028

Labels: Linear Algebra, UTL_NLA

Very nice.

Good to see you are back to posting.

Mathew Butler

Posted by mathewbutler | 8/18/2008 12:08:00 PM

In the AX = B form of the system of equations isn't B supposed be a vector rather than a square matrix?

If A is n x n and X is n x 1 [n rows, 1 column] then B has to be n x 1 too.

Posted by Anonymous | 7/22/2009 08:55:00 AM

In my previous examples in another post X was a vector. However, in the equation AX=B, X does not have to be a vector. In this example, we want X to be the inverse of A. So, if A is n x n then X=inv(A) is also n x n and B is the n x n identity matrix.

Posted by Marcos | 7/22/2009 12:23:00 PM

Sorry to be a pain but have you ever managed to extend this to calculate the generalized inverse of an nxn matrix?

Posted by Tim & Becky | 3/23/2010 06:15:00 AM

Sorry to be a pain but have you ever extended this to calculate the generalized inverse of an nxn matrix?

Posted by Tim & Becky | 3/23/2010 06:17:00 AM