solving an unknown 1024x1024 variable

pic1 = double (Pic1);
pic2 = double(Pic2);
pic3 = double(Pic3);
pic4 = double(Pic4);
ILB = 1;
B = pic1./ILB;
ILC = 0.2;
VC(1:1024,1:1024)= 0.581695;
VT = 0.025;
C = (pic2 - B*ILC)./(exp(VC./VT));
IL = 1;
V1 = VT*log((pic3 - B*IL)./(C));
V2 = VT*log((pic4 - B*IL)./(C));
jp=0.038;
Vp1(1:1024,1:1024)=0.616185;
Vp2(1:1024,1:1024)=0.575044;
syms A
eqn = (((Vp1-V1))./(A.*exp(V1/VT)-jp)).*(A*exp(V2/VT)-jp) == Vp2-V2;
Asol = solve(eqn, A);
A= subs(Asol, {A}, {A});
Unable to solve for variable A?

 Réponse acceptée

Walter Roberson
Walter Roberson le 8 Août 2016
In MATLAB, a resolved symbolic variable is always a scalar, so you are asking solve() to find a single value that simultaneously satisfies over a million different equations.
A = sym('A', size(Vp1));
eqn = (((Vp1-V1))./(A.*exp(V1/VT)-jp)).*(A*exp(V2/VT)-jp) == Vp2-V2;
Asol = solve(eqn, A);

2 commentaires

shoba
shoba le 8 Août 2016
Sorry,I am not able to get any output. Status: Busy. Why?
Hope to get value for A that is 1024 x 1024 and ouput into an image.
syms A_ Vp1_ V1_ V2_ Vp2_
eqn = (((Vp1_ - V1)) . /(A_ .* exp(V1_/VT)-jp)) .* (A_ .* * exp(V2_/VT)-jp) == Vp2_ - V2_;
Asol = solve(eqn, A_);
A = double( subs(Asol, {Vp1_ Vp2_ V1_ V2_}, {Vp1, Vp2, V1, V2}) );
imshow(A)

Connectez-vous pour commenter.

Plus de réponses (2)

Torsten
Torsten le 8 Août 2016
A linear equation in A can easily be solved analytically:
A=jp.*((Vp1-V1)-(Vp2-V2))./((Vp1-V1).*exp(V2-VT)-(Vp2-V2).*exp(V1/VT))
Best wishes
Torsten.

4 commentaires

shoba
shoba le 8 Août 2016
@Walter, I need your advice.
@Torsten, I could output an image with a single colour.
Torsten
Torsten le 8 Août 2016
Yes, this is correct for your settings since the elements of Vp1 and Vp2 are all the same.
Best wishes
Torsten.
shoba
shoba le 8 Août 2016
@Walter Sorry,I am not able to get any output. Status: Busy. Why?
Hope to get value for A that is 1024 x 1024 and output into an image.
The numerical values for Vp1 and Vp2 are different.
Walter Roberson
Walter Roberson le 8 Août 2016
It is past my bedtime. I am off to sleep.

Connectez-vous pour commenter.

Steven Lord
Steven Lord le 8 Août 2016
You could try defining A to be a symbolic matrix, but solving a system of over a million symbolic equations is likely to take quite a while.
A = sym('A', [1024 1024]);

Catégories

En savoir plus sur Sparse Matrices dans Centre d'aide et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by