MATLAB Newton-Raphson Method for Non-linear System of 3 variables in Matlab

[ra_forever8]

I am trying to solve 3 non-linear system of 3 variables using the Newton-raphson method in matlab. Here are the three equations:
\begin{equation} c[\alpha I+ k_f+k_d+k_ns+k_p(1-q)]-I \alpha =0 \end{equation}
\begin{equation} s[\lambda_b c P_C +\lambda_r (1-q)]- \lambda_b c P_C =0 \end{equation}
\begin{equation} q[\gamma +c k_p \frac{P_C}{P_Q}]- c k_p \frac{P_C}{P_Q}=0 \end{equation}
Solve the above systems of equation to get the values for $c,s$ and $q$? $tolerence= 10^{-4}$. initail values:$ (c_0,s_0,q_0)=0$.
The values for the parameters are:
$I=1200, k_f= 6.7*10^{7}, k_d= 6.03*10^8, k_n=2.92*10^9, k_p=4.94*10^9, \lambda_b= 0.0087, \lambda_r =835, \gamma =2.74, \alpha =1.14437*10^-3, P_C= 3*10^{11}, P_Q= 2.87*10^{10}$=>
This is what I think to do in matlab, but i don't know how to start the code in matlab. I have define the function for 3 systems of equation.\begin{equation} f(c,s,q)=> c[\alpha I+ k_f+k_d+k_ns+k_p(1-q)]-I \alpha =0 \end{equation}
\begin{equation} g(c,s,q)=>s[\lambda_b c P_C +\lambda_r (1-q)]- \lambda_b c P_C =0 \end{equation}
\begin{equation} h(c,s,q)=>q[\gamma +c k_p \frac{P_C}{P_Q}]- c k_p \frac{P_C}{P_Q}=0 \end{equation}now, i have to do partial derivatives of $f(c,s,q), g(c,s,q), h(c,s,q)$ in terms of $c, s, q$.Then set up the matrix $J$ and do the inverse matrix ($J^{-1}$). And apply the netwon iteration method, using $(c,s,q)= (c_0,s_0,q_0) - J^{-1} (f,g,h)$.I need to do some iterations until it converges to $tolerence= 10^{-4}$.Can please help me how to do in MATLAB with the MATLAB code. I am beginner in matlab.

 

[ra_forever8]

I am trying to solve 3 non-linear system of 3 variables using the Newton-raphson method in matlab. Here are the 3 non-linear equations: \begin{equation} c[\alpha I+ k_f+k_d+k_ns+k_p(1-q)]-I \alpha =0 \end{equation}
\begin{equation} s[\lambda_b c P_C +\lambda_r (1-q)]- \lambda_b c P_C =0 \end{equation}
\begin{equation} q[\gamma +c k_p \frac{P_C}{P_Q}]- c k_p \frac{P_C}{P_Q}=0 \end{equation} I need to find the values of c,s, and q using the Newton-raphson method.

=>
can someone please check my code, there are no errors. did I got correct values for c,s and q? Thanks in advance.
This is my Matlab code:

 format long
    clear; 
  
 %values of parameters
    I=1200;
    k_f= 6.7*10.^7;
    k_d= 6.03*10.^8; 
    k_n=2.92*10.^9; 
    k_p=4.94*10.^9;
    lambda_b= 0.0087;
    lambda_r =835; 
    gamma =2.74; 
    alpha =1.14437*10.^-3;
    P_C= 3 * 10.^(11);
    P_Q= 2.87 * 10.^(10);    
tol = 10.^-4;  %tol is a converge tolerance    
%initial guess or values
  c=1; 
  s=0.015;
  q=0.98; 
  iter= 0; %iterations
  xnew =[c;s;q];
  xold = zeros(size(xnew));
  while norm(xnew - xold) > tol
      iter= iter + 1;
      xold = xnew;      % update c, s, and q
      c = xold(1);
      s = xold(2);
      q = xold(3);
      
%Defining the functions for c,s and q.
      f = c * (alpha*I + k_f + k_d + k_n * s + k_p*(1-q))-I *alpha;
      g = s * (lambda_b * c* P_C + lambda_r *(1-q))- lambda_b* c * P_C; 
      h = q * ( gamma + c * k_p *(P_C / P_Q))- (c * k_p * (P_C / P_Q));     

%Partial derivatives in terms of c,s and q.
      dfdc = alpha*I + k_f + k_d + k_n * s + k_p*(1-q);
      dfds = k_n *c ;
      dfdq = - k_p *c;      
      
      dgdc = lambda_b * P_C *(s-1);
      dgds = lambda_b * c* P_C + lambda_r *(1-q);
      dgdq = - lambda_r * s;      
      
      dhdc = k_p *(P_C / P_Q)*(q-1);
      dhds = 0;
      dhdq = gamma + c * k_p *(P_C / P_Q);     
      
       %Jacobian matrix 
      J = [dfdc dfds dfdq; dgdc dgds dgdq; dhdc dhds dhdq];    
      
      % Applying the Newton-Raphson method
      xnew = xold - J\[f;g;h];
      disp(sprintf('iter=%6.15f,  c=%6.15f,  s=%6.15f, q=%6.15f', iter,xnew)); 
  end