- "Any arithmetic operation on a NaN, such as sqrt(NaN)"
- "Addition or subtraction, such as magnitude subtraction of infinities as (+Inf)+(-Inf)"
- "Multiplication, such as 0*Inf"
- "Division, such as 0/0 and Inf/Inf"
- "Remainder, such as rem(x,y) where y is zero or x is infinity"
Why are values in my loop filled with NaN?
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Hello, 
Can anyone tell why 'u' and 'v' inside my loop are all being filled with NaN? I cant figure out what I'm doing wrong. Thanks!
close all;
clear all;
a = 0;
b = 20;
nel = 200; % number of elements
h = (b-a)/nel; % step size
nv = nel+1;% number of vertices
x = a:h:b; % mesh
dt = 0.001; % time steps
tend = 20; 
e=ones(nv, 1);
%Discretization of the Laplace operator
Delta=1/(h^2)*spdiags([e -2*e e], -1:1, nv, nv);
Delta(1,2) = 2/h^2;
Delta(end,end-1) = -2/h^2;
% parameters of the model
eps = 0.02;
alpha = 0.1;
% initial guess
u = 0.5 * (x < 3);
v = 0 * x;
counter = 1;
% explicit Euler scheme
for t=dt:dt:tend
      u = u + dt/eps*(u .*(1-u).*(u-alpha) - v - ((Delta * u')'));
      v = v + dt * (u - v);
end
figcure(1)
plot(x,u,x,v,'r');
legend('u','v')
title('Solution of the Fitz-Hugh-Nagumo system')
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Accepted Answer
  Stephen23
      
      
 on 27 Nov 2018
        
      Edited: Stephen23
      
      
 on 27 Nov 2018
  
      Actually this has nothing to do with division by zero. When you read the NaN help it lists several ways that NaNs can occur:
"These operations produce NaN:"
In your case your code has increasingly large values in both u and v until on the eighth iteration they include several Inf elements (which critically have the same locations in both arrays):
>> any(any(isinf(u)==isinf(v))) % colocated Inf values.
ans = 1
>> any(isnan(u(:)))
ans = 0
>> any(isnan(v(:)))
ans = 0
Thus on the ninth iteration you calculate this: v - ((Delta * u')'), which is thus a subtraction of infinities and (exactly as the documentation states) produces NaNs:
>> tmp = v - (Delta * u')';
>> any(isnan(tmp(:)))
ans = 1
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