excel中vba求摩尔圆包线

时间:2023-03-08 18:47:00
excel中vba求摩尔圆包线
    Dim f As Double, f1 As Double, f2 As Double, df As Double, oxy() As Double, R() As Double, k As Double, k1 As Double, k2 As Double, b As Double, b1 As Double, b2 As Double
Dim dk As Double, db As Double Dim iRow As Long, i As Integer Sub readExcelToArr()
b = : f = : df = : dk = 0.0000001: db = 0.0000001
'Sheets("图表名").Activate Sheets(图表编号).Activate
' Worksheets("Sheet1").Activate
' Charts("Chart1").Activate
' DialogSheets("Dialog1").Activate
Sheets("zbl强度包线").Activate
iRow = Cells(Rows.Count, ).End(xlUp).Row
ReDim oxy(iRow - ), R(iRow - )
For i = To UBound(oxy) +
oxy(i - ) = Range("A" & i)
R(i - ) = Range("B" & i)
' Range("C" & i) = oxy(i - 2)
' Range("D" & i) = R(i - 2)
Next
k = (R(iRow - ) - R()) / Sqr(((oxy(iRow - ) - oxy()) ^ - (R(iRow - ) - R()) ^ )) 'Sqr((R(iRow - 2) - R(0)) / (2 * R(0)))
'MsgBox k
'f = computeF(k, b)
Do While df > dk
df =
'判断k
k1 = k + 0.0000001
k2 = k - 0.0000001
f1 = computeF(k1, b)
f2 = computeF(k2, b)
df = f1 - f2
If f1 > f2 Then
k = k2
Else
k = k1
End If
'判断b
b1 = b + db
b2 = b - db
f1 = computeF(k, b1)
f2 = computeF(k, b2)
If f1 > f2 Then
b = b2
Else
b = b1
End If
df = df + (f1 - f2)
Loop
MsgBox k
End Sub Function computeF(k As Double, b As Double) As Double
Dim sum As Double
sum = #
For i = To UBound(oxy) -
sum = sum + ((k * oxy(i) + b) / (Sqr(k ^ + )) - R(i)) ^
Next i
computeF = sum
End Function

补充,还是不行:

     Dim f As Double, f1 As Double, f2 As Double, df As Double, oxy() As Double, R() As Double, k As Double, k1 As Double, k2 As Double, b As Double, b1 As Double, b2 As Double
Dim dk As Double, db As Double Dim iRow As Long, i As Integer Sub readExcelToArr()
b = : f = : df = : dk = 0.0000001: db = 0.0000001
'Sheets("图表名").Activate Sheets(图表编号).Activate
' Worksheets("Sheet1").Activate
' Charts("Chart1").Activate
' DialogSheets("Dialog1").Activate
Sheets("zbl强度包线").Activate
iRow = Cells(Rows.Count, ).End(xlUp).Row
ReDim oxy(iRow - ), R(iRow - )
For i = To UBound(oxy) +
oxy(i - ) = Range("A" & i)
R(i - ) = Range("B" & i)
' Range("C" & i) = oxy(i - 2)
' Range("D" & i) = R(i - 2)
Next
k = (R(iRow - ) - R()) / Sqr(((oxy(iRow - ) - oxy()) ^ - (R(iRow - ) - R()) ^ )) 'Sqr((R(iRow - 2) - R(0)) / (2 * R(0)))
'MsgBox k
'f = computeF(k, b)
Do While df > dk
k1 = k + 0.0000001
k2 = k - 0.0000001
f1 = computeF(k1, b)
f2 = computeF(k2, b)
df = f1 - f2
If f1 > f2 Then
k = k2
Else
k = k1
End If Loop
MsgBox k
End Sub Function computeF(k As Double, b As Double) As Double
Dim sum As Double
sum = #
For i = To UBound(oxy) -
sum = sum + ((k * oxy(i) + b) / (Sqr(k ^ + )) - R(i)) ^
Next i
computeF = sum
End Function
     Dim f As Double, f1 As Double, f2 As Double, df As Double, oxy() As Double, R() As Double, k As Double, k1 As Double, k2 As Double, b As Double, b1 As Double, b2 As Double
Dim dk As Double, db As Double Dim iRow As Long, i As Integer Sub readExcelToArr()
b = : f = : df = : k = 0.5: dk = 0.0000000000001: db = 0.0000000000001
'Sheets("图表名").Activate Sheets(图表编号).Activate
' Worksheets("Sheet1").Activate
' Charts("Chart1").Activate
' DialogSheets("Dialog1").Activate
Sheets("zbl强度包线").Activate
iRow = Cells(Rows.Count, ).End(xlUp).Row
ReDim oxy(iRow - ), R(iRow - )
For i = To UBound(oxy) +
oxy(i - ) = Range("A" & i)
R(i - ) = Range("B" & i)
' Range("C" & i) = oxy(i - 2)
' Range("D" & i) = R(i - 2)
Next
'k = (R(iRow - 2) - R(0)) / Sqr(((oxy(iRow - 2) - oxy(0)) ^ 2 - (R(iRow - 2) - R(0)) ^ 2)) 'Sqr((R(iRow - 2) - R(0)) / (2 * R(0)))
'MsgBox k
'f = computeF(k, b)
Do While df / > dk
df =
'判断k
k1 = k + dk
k2 = k - dk
f1 = computeF(k1, b)
f2 = computeF(k2, b)
df = Abs(f1 - f2)
If f1 > f2 Then
k = k2
f = f2
Else
k = k1
f = f2
End If
'判断b
b1 = b + db
b2 = b - db
f1 = computeF(k, b1)
f2 = computeF(k, b2)
If f1 > f2 Then
b = b2
f = f2
Else
b = b1
f = f2
End If
df = df + Abs(f1 - f2)
Loop
MsgBox "k=" & k & ", b=" & b & " f=" & f
End Sub Function computeF(k As Double, b As Double) As Double
Dim sum As Double
sum = #
For i = To UBound(oxy) -
sum = sum + ((k * oxy(i) + b) / (Sqr(k ^ + )) - R(i)) ^
Next i
computeF = sum
End Function
     Dim f As Double, f1 As Double, f2 As Double, df As Double, oxy() As Double, R() As Double, k As Double, k1 As Double, k2 As Double, b As Double, b1 As Double, b2 As Double
Dim dk As Double, db As Double Dim iRow As Long, i As Integer Sub readExcelToArr()
b = : f = : df = : k = 0.5: dk = 0.0000000000001: db = 0.0000000000001
'Sheets("图表名").Activate Sheets(图表编号).Activate
' Worksheets("Sheet1").Activate
' Charts("Chart1").Activate
' DialogSheets("Dialog1").Activate
Sheets("zbl强度包线").Activate
iRow = Cells(Rows.Count, ).End(xlUp).Row
ReDim oxy(iRow - ), R(iRow - )
For i = To UBound(oxy) +
oxy(i - ) = Range("A" & i)
R(i - ) = Range("B" & i)
' Range("C" & i) = oxy(i - 2)
' Range("D" & i) = R(i - 2)
Next
'k = (R(iRow - 2) - R(0)) / Sqr(((oxy(iRow - 2) - oxy(0)) ^ 2 - (R(iRow - 2) - R(0)) ^ 2)) 'Sqr((R(iRow - 2) - R(0)) / (2 * R(0)))
'MsgBox k
'f = computeF(k, b)
Do While df > dk
df =
'判断k
k1 = k + dk
k2 = k - dk
f1 = computeF(k1, b)
f2 = computeF(k2, b)
df = Abs(f1 - f2)
If f1 > f2 Then
k = k2
f = f2
Else
k = k1
f = f2
End If
'判断b
b1 = b + db
b2 = b - db
f1 = computeF(k, b1)
f2 = computeF(k, b2)
If f1 > f2 Then
b = b2
f = f2
Else
b = b1
f = f2
End If
df = df + Abs(f1 - f2)
Loop
MsgBox "k=" & k & ", b=" & b & " f=" & f
End Sub Function computeF(k As Double, b As Double) As Double
Dim sum As Double
sum = #
For i = To UBound(oxy) -
sum = sum + ((k * oxy(i) + b) / (Sqr(k ^ + )) - R(i)) ^
Next i
computeF = sum
End Function

下面用求组合各个圆的斜率的平均值作为最终的k值吧。

excel中vba求摩尔圆包线

     Dim f As Double, f1 As Double, f2 As Double, df As Double, oxy() As Double, R() As Double, k As Double, k1 As Double, k2 As Double, b As Double, b1 As Double, b2 As Double
Dim dk As Double, db As Double Dim iRow As Long, i As Integer, j As Integer, num As Integer Sub readExcelToArr()
b = : f = : df = : k = : num = : dk = 0.0000000000001: db = 0.0000000000001
'Sheets("图表名").Activate Sheets(图表编号).Activate
' Worksheets("Sheet1").Activate
' Charts("Chart1").Activate
' DialogSheets("Dialog1").Activate
Sheets("zbl强度包线").Activate
iRow = Cells(Rows.Count, ).End(xlUp).Row ' iRow=5
ReDim oxy(iRow - ), R(iRow - ) 'oxy(4),共有0 1 2 3 这四个元素
For i = To UBound(oxy) + 'UBound(oxy)为数组 oxy 第一维上限,为4
oxy(i - ) = Range("A" & i)
R(i - ) = Range("B" & i)
' Range("C" & i) = oxy(i - 2)
' Range("D" & i) = R(i - 2)
Next i
For i = To UBound(oxy) -
For j = i + To UBound(oxy) -
num = num +
k = k + (R(j) - R(i)) / Sqr(((oxy(j) - oxy(i)) ^ - (R(j) - R(i)) ^ )) 'Sqr((R(j) - R(i)) / (2 * R(i)))
Next j
Next i
k = k / num
MsgBox k End Sub

发现这样求平均和线性规划差别挺大的。所以还是用线性规划吧。


     Dim f As Double, f1 As Double, f2 As Double, df As Double, oxy() As Double, R() As Double, k As Double, k1 As Double, k2 As Double, b As Double, b1 As Double, b2 As Double
Dim dk As Double, db As Double Dim iRow As Long, i As Integer, j As Integer, num As Integer, ii As Integer Sub readExcelToArr()
b = : f = : df = : k = : num = : dk = 0.001: db = 0.001
'Sheets("图表名").Activate Sheets(图表编号).Activate
' Worksheets("Sheet1").Activate
' Charts("Chart1").Activate
' DialogSheets("Dialog1").Activate
Sheets("zbl强度包线").Activate
iRow = Cells(Rows.Count, ).End(xlUp).Row ' iRow=5
ReDim oxy(iRow - ), R(iRow - ) 'oxy(4),共有0 1 2 3 这四个元素
For i = To UBound(oxy) + 'UBound(oxy)为数组 oxy 第一维上限,为4
oxy(i - ) = Range("A" & i)
R(i - ) = Range("B" & i)
' Range("C" & i) = oxy(i - 2)
' Range("D" & i) = R(i - 2)
Next i
For i = To UBound(oxy) - '4-2
For j = i + To UBound(oxy) -
num = num +
k = k + (R(j) - R(i)) / Sqr(((oxy(j) - oxy(i)) ^ - (R(j) - R(i)) ^ )) 'Sqr((R(j) - R(i)) / (2 * R(i)))
Next j
Next i
k = k / num
'k = (R(iRow - 2) - R(0)) / Sqr(((oxy(iRow - 2) - oxy(0)) ^ 2 - (R(iRow - 2) - R(0)) ^ 2)) 'Sqr((R(iRow - 2) - R(0)) / (2 * R(0)))
f = computeF(k, b)
MsgBox "k=" & k & ", b=" & b & " f=" & f
ii =
Do While (df > dk And df > db Or ii = ) 'Do While (ii = 1000) '
num =
Do While df > dk
df =
'判断k
k1 = k + dk
k2 = k - dk
f1 = computeF(k1, b)
f2 = computeF(k2, b)
df = Abs(f1 - f2)
If f1 > f2 Then
k = k2
f = f2
Else
k = k1
f = f2
End If
num = num +
If num > Then
Exit Do
End If
Loop num =
Do While df > db
df =
'判断b
b1 = b + db
b2 = b - db
f1 = computeF(k, b1)
f2 = computeF(k, b2)
df = Abs(f1 - f2)
If f1 > f2 Then
b = b2
f = f2
Else
b = b1
f = f2
End If
If num > Then
Exit Do
End If
Loop
ii = ii +
Loop
f = computeF(k, b)
MsgBox "k=" & k & ", b=" & b & " f=" & f
End Sub
'
Function computeF(k As Double, b As Double) As Double
Dim sum As Double
sum = #
For i = To UBound(oxy) -
sum = sum + ((k * oxy(i) + b) / (Sqr(k ^ + )) - R(i)) ^
Next i
computeF = sum
End Function

上面代码比较适合b接近0的情况。


先给出备用方案,就是用自带的函数。

excel中vba求摩尔圆包线

=(($F$2*D2+$G$2)/SQRT($F$2^2+1)-E2)^2+(($F$2*D3+$G$2)/SQRT($F$2^2+1)-E3)^2+(($F$2*D4+$G$2)/SQRT($F$2^2+1)-E4)^2+(($F$2*D5+$G$2)/SQRT($F$2^2+1)-E5)^2

上面的公式是在H2中输好的,然后执行下面的代码。需要先加载规划求解(https://zhidao.baidu.com/question/417984575.html

 Sub Mliner()
'
' Mliner Macro
' 线性规划
' '
Range("H2").Select
SolverOk SetCell,:="$H$2", MaxMinVal:=, ValueOf:="", yChange:="$F$2:$G$2"
SolverAdd CellRef,:="$F$2", Relation:=, ormulaText:=""
SolverAdd CellRef,:="$G$2", Relation:=, ormulaText:=""
SolverOk SetCell,:="$H$2", MaxMinVal:=, ValueOf:="", yChange:="$F$2:$G$2"
SolverSolve
End Sub