Solve a nonlinear system

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

 Akzeptierte Antwort

Andrew Newell
Andrew Newell am 4 Mär. 2011

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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

Oleg Komarov
Oleg Komarov am 4 Mär. 2011
Ok, now I get it...Thanks
Zulhash Uddin
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
Andrew Newell
Andrew Newell am 6 Mär. 2011
@Zulhash, could you please submit a separate question on this?

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Weitere Antworten (2)

Matt Fig
Matt Fig am 4 Mär. 2011

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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)

1 Kommentar

Oleg Komarov
Oleg Komarov am 4 Mär. 2011
I actually wanted to use fsolve as in EXAMPLE 1 of the fcn help. Is it possible or am I attempting something senseless from a mathematical point of view?

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Walter Roberson
Walter Roberson am 4 Mär. 2011

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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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