No solution found with 'fsolver'

I'm trying to solve these problem, but there might be a problem somewhere that I can't find. Could you please help me?

function F = myfun(x)
a=300; 
b=35; 
Ta=300*9.8;
O1=20+273.15; 
p=1.826*9.8; 
A=sqrt(a^2+b^2);  

F = [x(1)*cosh((x(2)+a)/x(1))-x(1)*cosh(x(2)/x(1))-b; 
p*x(1)*cosh(x(2)/x(1))-Ta];

end

x0 = [1000; 10];
x = fsolve(@myfun,x0)

Matlab says:

No solution found.

fsolve stopped because the last step was ineffective. However, the vector of function
values is not near zero, as measured by the default value of the function tolerance. 

<stopping criteria details>

x =

    119.2596
   -102.0987

¡Thank you!

Answer 1

[Star Strider]

That means that fsolve encountered a local minimum that produced a result far from zero and the gradient descent offered no other options.

However, it converges quite well if you allow complex solutions, and add ‘fval’ to the returned output of fsolve:

x0 = [1000*1i; 1000*1i];

converges to:

x =
   101.4346e+000 - 61.6563e+000i
  -141.2781e+000 -  8.4579e+000i

fval =
   568.4342e-015 +  1.2506e-012i
    -2.2737e-012 -  9.0949e-012i

which is acceptably close to zero.