I was looking at the lab for best fit
It is very impressive
I would like to comment on two things
In step 7 I guess this text should be
A = [1,. log x_i], X = [b k], and B = [log y_i]
Lab: Best Fit
Author: Richard L.W. Brown
── (7 of 12) Shortcut for Method 1: (ctd) ───────────────────
In our case, we have n equations of the form
(1)b + (log x_i)k = y_i
in the two unknowns b and k. Thus to apply matrix divide:
A = [1, log x_i], X = [b k], and B = [y_i]
[The J code is shown below. Note that we get the same values
for a and k that we had previously obtained.]
)
A =: 1,.xlg
'b k' =: ylg %. A
[a =: e^b
3.73761
k
1.4445
To make it a bit more visible it might be interesting to add
-------------- after step 6 would be nice to have
require'plot'
pd'reset'
pd vx;vy
pd vx;yp
pd'show'
Also do similar for the rest of the lab
--
Björn Helgason, Verkfræðingur
Fugl&Fiskur ehf, Þerneyjarsund 23, Box 127
801 Grímsnes ,t-póst: [EMAIL PROTECTED]
Skype: gosiminn, gsm: +3546985532
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