1*0 empty double row vector

X = [-14 -12 -10. -6. -2 2. 6. 8 10 12 14 16 18];
Y = [-0.8 -1.1 -.88 -.44 0 .44 .88 1.1 1.32 1.54 1.76 1.98 1.7];
y1 = intrp(-20,X,Y)
out = -0.8000
y1 = -0.8000
y2 = intrp(-11,X,Y)
out = -0.9900
y2 = -0.9900
y3 = intrp(9,X,Y)
out = 1.2100
y3 = 1.2100
y4 = intrp(19,X,Y)
out = 1×0 empty double row vector y4 = 1×0 empty double row vector
function out = intrp(in,X,Y)
% interpolate a 2-d function
% in: input value of x
% X: input vector
% Y: output vector
% out: output value of Y=f(X) for X = in
X = [-14 -12 -10. -6. -2 2. 6. 8 10 12 14 16 18];
Y = [-0.8 -1.1 -.88 -.44 0 .44 .88 1.1 1.32 1.54 1.76 1.98 1.7];
if (in < -14)
loc = find(in < X,1);
out = Y(loc)
elseif (in > 18)
loc = find(in < X,1);
out = Y(loc-1)
else
loc = find(in < X,1);
out = Y(loc-1)+(Y(loc)-Y(loc-1))/(X(loc)-X(loc-1))*(in-X(loc-1))
end
end

Antworten (1)

Walter Roberson
Walter Roberson am 17 Mär. 2023

0 Stimmen

19 < X is never true, so find() is going to return empty.
What result were you hoping for in the case where the input value is greater than all of the X values?
Question: why are you passing X into your function but then ignoring the input X and re-assigning values to X inside the function?

3 Kommentare

Chirag
Chirag am 17 Mär. 2023
Verschoben: Walter Roberson am 17 Mär. 2023
I was hoping to get y=f(X)=1.7 for any values that are greater than X=18. But, seems I am lost in translation somewhere.
I suspect you want an algorithm closer to:
in value less than or equal to X(1) should return Y(1)
in value greater than or equal to X(end) should return Y(end)
otherwise do your calculation
Chirag
Chirag am 17 Mär. 2023
Yes. Something like that.

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