why do i get Nan as output?
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im trying to solve four such equations using an input vector containing 4 values.
fn = 1/(rho(1)*Y(1))*(1.113-2.14*Y(1)+2.81*Y(1)^2-1.76*Y(1)^3+0.396*Y(1)^4+0.08694*Y(1)^5-0.0579*Y(1)^6 +0.0077*Y(1)^7);
using ode45.
But the output vector consists of Nan values ; where as its returining numerical values on using the command window.
function file:
function fn = plume5(t,Y)
global rho cp
fn(1) = 1/(rho(1)*cp)*(760.91-1608.08*Y(1)+2449.22*Y(1)^2-2001.61*Y(1)^3+904.51*Y(1)^4-212.087*Y(1)^5+20.095*Y(1)^6);
fn(2) = 1/(rho(2)*cp)*(760.91-1608.08*Y(2)+2449.22*Y(2)^2-2001.61*Y(2)^3+904.51*Y(2)^4-212.087*Y(2)^5+20.095*Y(2)^6);
fn(3) = 1/(rho(3)*cp)*(760.91-1608.08*Y(3)+2449.22*Y(3)^2-2001.61*Y(3)^3+904.51*Y(3)^4-212.087*Y(3)^5+20.095*Y(3)^6);
fn(4) = 1/(rho(4)*cp)*(760.91-1608.08*Y(4)+2449.22*Y(4)^2-2001.61*Y(4)^3+904.51*Y(4)^4-212.087*Y(4)^5+20.095*Y(4)^6);
fn(5) = 1/(rho(5)*Y(5))*(1.113-2.14*Y(5)+2.81*Y(5)^2-1.76*Y(5)^3+0.396*Y(5)^4+0.08694*Y(5)^5-0.0579*Y(5)^6 +0.0077*Y(5)^7);
fn(6) = 1/(rho(6)*Y(6))*(1.113-2.14*Y(6)+2.81*Y(6)^2-1.76*Y(6)^3+0.396*Y(6)^4+0.08694*Y(6)^5-0.0579*Y(6)^6 +0.0077*Y(6)^7);
fn(7) = 1/(rho(7)*Y(7))*(1.113-2.14*Y(7)+2.81*Y(7)^2-1.76*Y(7)^3+0.396*Y(7)^4+0.08694*Y(7)^5-0.0579*Y(7)^6 +0.0077*Y(7)^7);
fn(8) = 1/(rho(8)*Y(8))*(1.113-2.14*Y(8)+2.81*Y(8)^2-1.76*Y(8)^3+0.396*Y(8)^4+0.08694*Y(8)^5-0.0579*Y(8)^6 +0.0077*Y(8)^7);
fn = fn';
main file
clear all
close all
global rho cp
rho = [0.4878;0.7862;1.1449;1.1611;0.4878;0.7862;1.1449;1.1611]
cp = 1.4857
t_span= 0:10
y = [0.0182;0.3105;1.2882;2.7341;0.0182;0.3105;1.2882;2.7341]
[A,P]= ode45('plume5',t_span,y);
댓글 수: 2
Jan
2019년 9월 4일
Notes: Providing the function to be integrated as CHAR vector is outdated for almost 20 years now. Although it works for reasons of backward compatibility, prefer the "modern" method of function handles.
See Answers: Anonymous for params for using anonymous function to provide parameters. This is much better than using global variables:
rho = [0.4878;0.7862;1.1449;1.1611;0.4878;0.7862;1.1449;1.1611];
cp = 1.4857;
[A,P]= ode45(@(t, Y) plume5(t, Y, roh, cp), t_span, y);
function fn = plume5(t,Y, roh, cp)
...
end
채택된 답변
Jan
2019년 9월 4일
편집: Jan
2019년 9월 4일
Use te debugger to determine the first occurrence of a NaN. Type this in the command window:
dbstop if naninf
Then run the code again. When Matlab stops, check the value of the trajectory. Most likely there is a pole and NaN or Inf is the correct numerical value. You can check this by:
plot(t, Y)
By the way, vectorization can simplify the code:
function fn = plume5(t,Y, rho, cp)
fn = zeros(8, 1);
fn(1:4) = 1 ./ (rho(1:4)*cp) .* (760.91 - 1608.08 * Y(1:4) + ...
2449.22 * Y(1:4) .^ 2 - 2001.61 * Y(1:4) .^ 3 + ...
904.51 * Y(1:4) .^ 4 - 212.087 * Y(1:4) .^ 5 + 20.095 * Y(1:4) .^6 );
fn(5:6) = 1 ./ (rho(5:8) .* Y(5:8)) * (1.113 - 2.14 * Y(5:8) + ...
2.81 * Y(5:8) .^ 2 - 1.76 * Y(5:8) .^ 3 + 0.396 * Y(5:8) .^ 4 + ...
0.08694 * Y(5:8) .^ 5 - 0.0579 * Y(5:8) .^ 6 + 0.0077 * Y(5:8) .^ 7);
댓글 수: 4
Jan
2019년 9월 11일
@Sunetra CV: I'm not sure what "scaling down" means here.
@Moumita Ghosh: I cannot follow you. Your comment does not concern the question of this thread, does it? Then please open a new thread and post the details there.
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