MTRACE_q

Updated 2024-03-06 21:16:52.817000

Syntax

SELECT [westclintech].[wct].[MTRACE_q](
   <@Matrix_RangeQuery, nvarchar(max),>)

Description

Use the scalar function MTRACE_q to calculate the trace of a de-normalized matrix. The trace of a matrix (A) is the sum of the diagonal elements. For example:

\textbf{A}=\begin{bmatrix}a_{11}&a_{12}&a_{13}\\a_{21}&a_{22}&a_{23}\\a_{31}&a_{32}&a_{33}\end{bmatrix}

\text{tr}\left(\textbf{A}\right)=a_{11}+a_{22}+a_{33}

Arguments

@Matrix_RangeQuery

the SELECT statement, as text, used to determine the matrix to be used in this function. The SELECT statement specifies the column names from the table or view or can be used to enter the matrix values directly. Data returned from the @Matrix_RangeQuery select must be of the type float or of a type that implicitly converts to float.

Return Type

float

Remarks

Use the MTRACE function for simpler queries.

Use MTRACEN_q for a table in 3rd normal form.

If the matrix is not square then an error will be returned.

If the matrix diagonal contains NULL, then NULL will be returned.

The function returns an error if the matrix diagonal contains a non-numeric value.

Examples

In this example, we calculate trace from a temporary table containing one matrix.

SET NOCOUNT ON;

SELECT *

INTO #c

FROM

(

    VALUES

        (-78, -35, 98, -65, 49),

        (48, -53, -1, -18, -12),

        (35, -70, -77, 44, 73),

        (37, -75, -13, -55, 97),

        (-56, 36, 84, -34, 52)

) n (x1, x2, x3, x4, x5);

SELECT wct.MTRACE_q('SELECT * FROM #c') as TRACE;

DROP TABLE #c;

This produces the following result.

{"columns":[{"field":"TRACE","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"}],"rows":[{"TRACE":"-211"}]}

Using the same data, we can calculate the trace directly from the derived table.

SELECT wct.MTRACE_q('SELECT *

FROM (VALUES

      (-78,-35,98,-65,49),

      (48,-53,-1,-18,-12),

      (35,-70,-77,44,73),

      (37,-75,-13,-55,97),

      (-56,36,84,-34,52)

      )n(x1,x2,x3,x4,x5)') as TRACE;

This produces the following result.

{"columns":[{"field":"TRACE","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"}],"rows":[{"TRACE":"-211"}]}

Let's put several matrices into a table and calculate trace for each.

SET NOCOUNT ON;
 
CREATE TABLE #c(
      Matrix      int,
      rn          int,
      x1          float,
      x2          float,
      x3          float,
      PRIMARY KEY (Matrix, rn)
      );
 
INSERT INTO #c VALUES (500,1,88,32,-19);
INSERT INTO #c VALUES (500,2,-14,-7,-87);
INSERT INTO #c VALUES (500,3,-99,-43,30);
INSERT INTO #c VALUES (501,1,-10,-69,25);
INSERT INTO #c VALUES (501,2,-94,83,-40);
INSERT INTO #c VALUES (501,3,0,-1,20);
INSERT INTO #c VALUES (502,1,-73,-55,1);
INSERT INTO #c VALUES (502,2,-84,-41,-92);
INSERT INTO #c VALUES (502,3,-70,-69,-70);
INSERT INTO #c VALUES (503,1,-41,-90,86);
INSERT INTO #c VALUES (503,2,-90,88,24);
INSERT INTO #c VALUES (503,3,52,60,-37);
 
SELECT Matrix
,wct.MTRACE_q('SELECT x1,x2,x3 FROM #c WHERE Matrix = ' + CAST(n.Matrix as varchar(max)) + ' ORDER BY rn') as Trace
FROM (SELECT DISTINCT Matrix FROM #c)n;
 
DROP TABLE #c;

This produces the following result.

{"columns":[{"field":"Matrix","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"},{"field":"Trace","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"}],"rows":[{"Matrix":"500","Trace":"111"},{"Matrix":"501","Trace":"93"},{"Matrix":"502","Trace":"-184"},{"Matrix":"503","Trace":"10"}]}