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Bestimmen einer Ausgleichsgeraden
> |
restart; with (plots):
Warning, the name changecoords has been redefined |
Messtabelle:
> |
M:= [[2.1, .425],
[2.2, .351],
[2.4, .281],
[2.6, .228],
[2.7, .137],
[2.8, .163],
[2.9, .084],
[3.0, .047],
[3.1, .013],
[3.3, -.048],
[3.5, -.099],
[3.7, -.142]]:
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> |
plot ({seq (M[i], i = 1..nops(M))}, x = 2..4,
style = point, symbol = cross,
labels = [x, y]); |
![[Maple Plot]](images-ausglger/ausglger1.gif)
Die Funktionsgleichung der "besten Gerade":

Die Summe der Gauss'schen Fehlerquadrate:
> |
S:= (m, b) -> sum ((y[i] - f(x[i]))^2, i = 1..n);
S(m, b); |


S ist in Abhängigkeit von m und b zu minimieren:
> |
gln:= {diff (S(m,b), m) = 0, diff (S(m,b), b) = 0}:
gln[1];
gln[2]; |


Die Lösungen der Gleichungen gln[1] und gln[2]:
> |
lgn:= solve (gln, {m, b}): lgn[1];
lgn[2]; |

> |
n:= nops(M);
for j to n do x[j]:= M[j,1]: y[j]:= M[j,2]: od: |

> |
lgn: assign (lgn):
m:= evalf (m, 4);
b:= evalf (b, 4); |



> |
Punkte:= plot ({seq (M[i], i = 1..n)}, x = 2..4,
style = point, symbol = cross,
labels = [x, y]):
Gerade:= plot ([f(x)], x = 2..4, style = line,
color = blue):
display ([Punkte, Gerade]); |
![[Maple Plot]](images-ausglger/ausglger13.gif)
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