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r4
r3
1== 1 ==
r2
2table = @[6,3]
r4
3matr = [64.5@E6,40@E6,48.5@E6];
4susc = +@pi*10@E-7*4
r2
5freq = [10@E4,10@E5,10@E6,10@E7,10@E8,10@E9]
6
7for [row, column] in table
r4
8table(row,column) = (1/+sqrt(+@pi*matr(column)*freq(row)*susc))
r2
9end
r3
10table
11
12== 2 ==
13table = @[6]
14matr = 64.5@E6
15freq = [10@E4,10@E5,10@E6,10@E7,10@E8,10@E9]
16
17for [row] in table
18table(row) = (1/sqrt(@pi*matr*freq(row)))
19end
20
21LogisticFitPlot(freq,1/sqrt(@pi*matr*x))