An annoying extrapolation problem

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Mohammad Shojaei Arani
Mohammad Shojaei Arani el 4 de Dic. de 2023
Editada: Dyuman Joshi el 4 de Dic. de 2023
Hello,
I have a simple problem but it seems difficult to solve. MATLAB command interp1 has a nice extrapolation option but, unfortunately
it only considers just one extrapolation value outside of our domain. Assuming that my interval is [L R], I would like to extrapolate my function
f to be f(L) when x<L and also I want to extrapolate f with f(R) when x>R. This works but I cannot vectorise this. And, this is quite annoying. To make it clear what is my point the best is to go for a simple example. Consider the following
x1=linspace(0,pi/2,1000);y1=sin(x1);
f1=@(x)interp1(x1,y1,x,'spline');
f=@(x)interp1(x1,y1,x,'spline',0).*(x>=0 && x<=pi/2)+f1(0).*(x<0)+f1(pi/2).*(x>pi/2);
If I type f(3) or f(4) then I get 1. But, when I type f([3 4]) it, unfortunately, throws an error message. I know why it gives error message but
I cannot fix this.
Note: I COULD WRITE f1=@(x)interp1(x1,y1,x,'spline','extrap'); BUT I DO NOT LIKE TO USE THIS SINCE THIS IS NOT
APPROPRIATE FOR THE NATURE OF MY ACTUAL PROBLEM (NOT SHOWN). THE EXAMPLE ABOVE IS ONLY TO SHOW YOU MY PROBLEM.
Thanks for your help in advance!
Babak
  1 comentario
Dyuman Joshi
Dyuman Joshi el 4 de Dic. de 2023
Editada: Dyuman Joshi el 4 de Dic. de 2023
I am aware that Bruno has provided an efficient solution to the problem, but I'll make a different point nonetheless -
"I know why it gives error message but I cannot fix this."
Look into the difference between &&, || and &, | (double vs single)

Iniciar sesión para comentar.

Respuesta aceptada

Bruno Luong
Bruno Luong el 4 de Dic. de 2023
Editada: Bruno Luong el 4 de Dic. de 2023
Because you insist on using anonymous function and ugly combined expression using scalar logical expression. The trick is no longer smart.
Just give up any of those then you are OK.
Also different way
x1 = linspace(0,pi/2,1000);y1=sin(x1);
lo = min(x1); % 0
up = max(x1); % pi/2
f = @(x) interp1(x1, y1, min(max(x,lo),up), 'spline')
f = function_handle with value:
@(x)interp1(x1,y1,min(max(x,lo),up),'spline')
f(-1:4)
ans = 1×6
0 0 0.8415 1.0000 1.0000 1.0000

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