Interpolation on tables using matlab
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Hello, I am solving several probems in Thermodynamics and one of my most time consuming things solving problems is the interpolation.
That not exactly the same as an interpolation on a plot, so thats why Im writing a new post.
I had my exam and succeed in MatLab last week but was a short tour of 15 hours so Im still new at this! :)
So the thing is I have a table giving several temperatures and for the given temperatures I have columns next to them giving the related energy, enthalpy and entropy.
So if I have temperature that is not given on the table I have to do an interpolation for the temperature I need, so I was thinking about a function that could read the 3 temperatures as x1 x2 x3 then read the 2 energys lets say as y1 y3 and I will need to calculate the y2 which is what Im looking for.
The equation Im using on my calculator looks like y2={[(x2-x1)/(x3-x1)]*(y3-y1)}+y1
I know is simple but Im just too short on time and cant get it to work :(
回答 (1 件)
Cris LaPierre
2020 年 12 月 13 日
1 投票
If you are using MATLAB, just use the interp1 function. Just be sure to follow the expected syntax, described in the linked documentation page.
7 件のコメント
ORESTIS KOKKINOS
2020 年 12 月 13 日
Syntax splits the knowns and unknowns.
% known x,y values
x = [1 3];
y = [2 6];
% Interporate to find y when x=2.
xq = 2;
yq = interp1(x,y,xq)
% Just to check, plot results
plot(x,y)
hold on
plot(xq,yq,'ro')
ORESTIS KOKKINOS
2020 年 12 月 13 日
You could write your own function to do whatever you want.
Not sure what is making this so slow for you. I would argue that interp1 also takes 5 values and calculates a 6th.
yq = interp1([1 3],[2 6],2)
ORESTIS KOKKINOS
2020 年 12 月 13 日
編集済み: ORESTIS KOKKINOS
2020 年 12 月 13 日
Cris LaPierre
2020 年 12 月 13 日
Like I said, you can write a similar function in MATLAB if you are particular about the calling syntax. You could write that same function in 3 lines in MATLAB. If that's what you prefer, see this documentation page on how to create a function.
ORESTIS KOKKINOS
2020 年 12 月 13 日
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