In this model:
where all the variables are of dymension TX1, I need to find all the (T) values of gamma that put the equation to zero.
I tryed with the following code, but the program returns me all NAN, how can I fix the code to get it?
j=1; %increment level. The loop will work for j>1 as well.
for i=1:j:T;
fnc = @(gamma,C,S) 1./(1+gamma).*(C(i)-(S(i)*gamma)) - M(i); % Model function
rn = @(gamma) norm(M - fnc(gamma,C,S)); % Residual norm
gamma0 = [15]; % Inizializzazione
[gamma, ResNorm] = fzero(rn, gamma0);
end

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Matt J
Matt J 2021년 4월 10일
편집: Matt J 2021년 4월 10일

0 개 추천

gamma=nan(T,1);
j=1; %increment level. The loop will work for j>1 as well.
for i=1:j:T;
ci=C(i); si=S(i); mi=M(i);
fnc = @(gamma) 1./(1+gamma).*(ci-(si*gamma)) - mi;
gamma0 = 15;
[gamma(i), ResNorm] = fzero(fcn, gamma0);
end

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MARCO FORTI
MARCO FORTI 2021년 4월 10일
It still returns me NaN
You may be initializing at a bad point. This works:
T=5;
[C,S,M]=deal(rand(T,1), rand(T,1), rand(T,1));
gamma=nan(T,1);
j=1; %increment level. The loop will work for j>1 as well.
for i=1:j:T;
ci=C(i); si=S(i); mi=M(i);
fnc = @(gamma) 1./(1+gamma).*(ci-(si*gamma)) - mi;
gamma0 = 15;
[gamma(i), ResNorm] = fzero(fnc, 0);
end
gamma
gamma = 5×1
-1.0000 0.0302 0.6949 0.1094 -0.4440
MARCO FORTI
MARCO FORTI 2021년 4월 10일
It works, thanks!

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추가 답변 (1개)

Alan Stevens
Alan Stevens 2021년 4월 9일
편집: Alan Stevens 2021년 4월 9일

1 개 추천

If your expression is equal to zero, then you can rearrange it to get gamma directly. A little algebra gives
gamma = (C-M)./(S+M);
No need for fzero at all.

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MARCO FORTI
MARCO FORTI 2021년 4월 10일
Sorry, I mispelled the formula, now I corrected fixed it.
However I would like to understand how to develope a proper matlab code for this (or other similar) situations. Could you help?

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2021년 4월 9일

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2021년 4월 10일

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