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10.13.2008 at 09:26PM PDT, ID: 23811694
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6.6

Ho w do I design a more robust O(n^2) algorithm?

Asked by pmjg23 in Algorithms, Microsoft Excel Spreadsheet Software, Microsoft Applications

Tags:

I have created an O(n^2) algorithm, but like it to be more robust and quicker if possible as it might be used repeatedly on fairly large data sets. It should also be able to adjust the ouput array length to the right value. It will be used with two conditioning columns determining whether a row is to be sorted at all (as in the example), but it would be great if you could write something that accepted a variable number of conditioning columns.

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Ex Code:
Sub test()
answer = mySort(3, 1, 2, "Sample", "Test")
MsgBox "Sorted row numbers of Sample orgs that Test:"
i = 1
Do While answer(i) <> -1
MsgBox answer(i)
i = i + 1
Loop
End Sub
 
 
Function mySort(objectiveCol As Integer, conditionCol1 As Integer, conditionCol2 As Integer, conditionValue1 As String, conditionValue2 As String)
Dim indices(10) As Integer
For i = 1 To 10
indices(i) = -1
Next
 
For i = 3 To 27
    If Cells(i, conditionCol1) = conditionValue1 And Cells(i, conditionCol2) = conditionValue2 Then
         If indices(1) = -1 Then
            indices(1) = i
         Else
            j = 1
            Do While indices(j) <> -1
                If Cells(i, objectiveCol).Value > Cells(indices(j), objectiveCol).Value Then
                    For k = 9 To j + 1 Step -1
                        indices(k) = indices(k - 1)
                    Next
                    indices(j) = i
                    Exit Do
                End If
            j = j + 1
            Loop
         End If
    End If
Next
mySort = indices
End Function
[+][-]10.13.2008 at 11:26PM PDT, ID: 22708983

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[+][-]10.14.2008 at 12:54PM PDT, ID: 22715331

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[+][-]10.15.2008 at 12:16PM PDT, ID: 22724633

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About this solution

Zones: Algorithms, Microsoft Excel Spreadsheet Software, Microsoft Applications
Tags: VB, VBA
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Solution Provided By: pepr
Participating Experts: 1
Solution Grade: B
 
 
[+][-]10.15.2008 at 12:33PM PDT, ID: 22724835

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[+][-]10.18.2008 at 01:34PM PDT, ID: 22749672

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[+][-]10.23.2008 at 07:54AM PDT, ID: 22786771

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[+][-]10.23.2008 at 08:15AM PDT, ID: 22787041

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