Solve a nonlinear system
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I'm solving the following as:
f = @(R01) 1/(1+R01) - .95;
R01 = fzero(f,0);
f = @(R02) 0.08/(1+R01) + 1.08/(1+R02)^2 - .99;
R02 = fzero(f,0);
How can I solve the system in one shot, can't make it work with fsolve.
Thanks
Oleg
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Akzeptierte Antwort
Andrew Newell
am 4 Mär. 2011
Is this what you're trying to do?
f = @(x) [1/(1+x(1)) - .95; 0.08/(1+x(1)) + 1.08/(1+x(2))^2 - .99];
R = fsolve(f,[0 0]);
If so, you can't do it with fzero because it only accepts a function with a scalar input and scalar output.
3 Kommentare
Zulhash Uddin
am 6 Mär. 2011
After running the program, we r getting some text with the result. How can we minimize this text?
Equation solved.
fsolve completed because the vector of function values is near zero
as measured by the default value of the function tolerance, and
the problem appears regular as measured by the gradient.
<stopping criteria details>
R =
0.0526315789063412 0.0870230886539235
Weitere Antworten (2)
Matt Fig
am 4 Mär. 2011
Do you mean get R01 and R02 in one shot, or do you mean find where the two functions meet (what I usually think of when someone says they want to solve a system of equations)?
If you mean, how to get to R02 in one shot,
f3 = @(R02) 0.08./(1+(1/.95-1)) + 1.08/(1+R02).^2 - .99;
R02 = fzero(f3,0)
Or,
f = @(R01) 1/(1+R01) - .95;
f = @(R02) 0.08/(1+fzero(f,0)) + 1.08/(1+R02)^2 - .99;
R02 = fzero(f,0)
Walter Roberson
am 4 Mär. 2011
With the symbolic toolkit, it looks like
solve(0.8e-1/(1+solve(1/(1+RO1)-.95))+1.08/(1+R02)^2-.99)
and gives the values -2.087023117, 0.08702311660
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