Elimination And Updatinig Duplicate Records?

Jan 9, 2008

We have a procedure that yields a temp table that has duplicate records as follows:








calc_date
minmaxvalue

1/1/2004
1

1/1/2004
2

1/2/2004
1

1/3/2004
1

1/4/2004
2

1/5/2004
2

1/6/2004
2

1/7/2004
1

1/7/2004
2

1/8/2004
2

1/9/2004
1

1/10/2004
1

1/11/2004
2

1/12/2004
1

1/13/2004
1

1/14/2004
1

1/14/2004
2
We now want to go thru the resulting table and do the following:

if there is a duplicate date record, delete the duplicate and update the remaining minmaxvalue to be 3

the resulting ds would look like this








calc_date
minmaxvalue

1/1/2004
3

1/2/2004
1

1/3/2004
1

1/4/2004
2

1/5/2004
2

1/6/2004
2

1/7/2004
3

1/8/2004
2

1/9/2004
1

1/10/2004
1

1/11/2004
2

1/12/2004
1

1/13/2004
1

1/14/2004
3

Any ideas?

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Gaussian Elimination

Apr 18, 2007

Example usage:
To solve Ax=B

|25 5 1| |106.8 |
A = |64 8 1| , B = |177.21|
|144 12 1| |279.21|

exec dbo.gaussianElimination
N'<matrix>
<row values="25,5,1,106.8"/>
<row values="64,8,1,177.21"/>
<row values="144,12,1,279.21"/>
</matrix>', @verbose = 1

Will give this:
inputMatrix
--------------------------------------------------------------------------------
25,5,1,106.8
64,8,1,177.21
144,12,1,279.21

result
--------------------------------------------------------------------------------
x0 = 0.290000
x1 = 19.700000
x2 = 1.050000

testingScenario
--------------------------------------------------------------------------------
set nocount on
declare @x0 float
declare @x1 float
declare @x2 float
set @x0 = 0.290000
set @x1 = 19.700000
set @x2 = 1.050000
select (25 * @x0) + (5 * @x1) + (1 * @x2) --= 106.8
select (64 * @x0) + (8 * @x1) + (1 * @x2) --= 177.21
select (144 * @x0) + (12 * @x1) + (1 * @x2) --= 279.21

Resultant row echelon matrix after solving the augmented input matrix
========================================================================================================================
m n0 n1 n2 n3
------- ----------------------------------------------------- ----------------------------------------------------- ----------------------------------------------------- -----------------------------------------------------
m0 1.0 0.0 0.0 0.28999999999999826
m1 0.0 1.0 0.0 19.700000000000028
m2 0.0 0.0 1.0 1.0499999999998986

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