Successive convex approximation is used in my algorithm

My objective function is exponantial so i am using mosek solver. This type of error is occuring in code (“Pi” was previously used as a variable, conflicting with its use here as the name of a function or command.See “How MATLAB Recognizes Command Syntax” in the MATLAB documentation for details.)
This is my code,
while 1
count(1,i) = count(1,(i-1))+1;
cvx_begin quiet
cvx_solver mosek
variables Pi(n,1) Pj(n,1) %optimization variables
subject to
Pi <= Pi_opt;
Pj <= Pj_opt;
(Pi+Pj)<= Gamma_m;
Pi Pj
K = abs(Mn-mu_n.(1+exp(-an.(gnx.(Pi(1,i)+Pj(1,i))-bn))));
fprintf(‘value of K:%f\n’,K);
fprintf(‘value of Pix:%f\n’,Pi(1,i));
fprintf(‘value of Pjx:%f\n’,Pj(1,i));
if K < Delta
Phi_ERn(1,i) = Mn./(1+exp(-an.
fprintf(‘value of Phi_ERn:%f\n’,Phi_ERn(1,i));
mu_n1 = Mn./(1+exp(-an.
mu_n1x = abs(mu_n1);
mu_n = mu_n1x;
fprintf(‘value of updated mu_n:%f\n’,mu_n)
i = i+1;

algo this is my algorithm.

If you are getting this message, then change the function or variable name so that they don;t conflict. Do you have some other question?

Given your use of exp, I suggest you use CVXQUAD in order to improve reliability and performance. Please read CVXQUAD: How to use CVXQUAD's Pade Approximant instead of CVX's unreliable Successive Approximation for GP mode, log, exp, entr, rel_entr, kl_div, log_det, det_rootn, exponential cone. CVXQUAD's Quantum (Matrix) Entropy & Matrix Log related functions

Thank you so much sir, this is very helpful for me. This is my program
%convex optimization for optimizing allocated powers (P1 and P2)
cvx_begin quiet
cvx_solver mosek
variable P(2,1) %optimization variables
subject to
log2(1 + (P(1).*hix)./(P(2).*hix + Ni)) >= R_min;
log2(1 + (P(2)*hjx)./Nj) >= R_min;
log2(1+(P(1)hjx)./(P(2)hjx + Nj)) >= R1+R2;
(P(1)+P(2)) <= Gamma_m;
I am getting error like wise
Error using .
(line 173)
Disciplined convex programming error:
Cannot perform the operation: {real affine} ./ {real affine}

Error in ./ (line 19)
z = times( x, y, ‘./’ );

Error in * (line 36)
z = feval( oper, x, y );

Error in / (line 15)
z = mtimes( x, y, ‘rdivide’ );

Error in nov22 (line 41)
R1 = log2(1+(P(1)*hix)/(P(2)*hix)+Ni);

Help me sir to solve it out,

if i am doing this,
%convex optimization for optimizing allocated powers (P1 and P2)

cvx_begin quiet
variable P(2,1)   %optimization variables
R_min = 1;   % 1 bits/Hz (minimum transmission rate)
subject to
R1 = log2(1+mtimes(feval(times,P(1,1),hix),(feval(times,P(2,1),hix)+Ni),.....
R2 = log2(1+mtimes(feval(times,P(2,1),hjx),Nj,'rdivide'));
R3 = log2(1+mtimes(feval(times,P(1,1),hjx),((feval(times,P(2,1),hjx)+Nj)),.........
'rdivide')) >= R_min;
 log2(1+mtimes(feval(times,P(2,1),hjx),Nj,'rdivide')) >= R_min;
'rdivide')) >= R1+R2;
 feval(times,qmx,P(1,1)+P(2,1)) <= Gamma_m;
 mu_n >= 0;

Getting this error
Error using .*
Not enough input arguments.

Error in abhi (line 40)
R1 = log2(1+mtimes(feval(times,P(1,1),hix),(feval(times,P(2,1),hix)+Ni),.....

please sir help me,

I believe your question two above is addressed by my answer to your question at Disciplined convex programming error: Cannot perform the operation: {real affine} .* {convex} .

I will presume your very convoluted code in your question immediately above has been superseded by your other code.

Please do not post the same thing, more or less, to multiple threads. It adds to confusion and messiness of the forum, and increases the effort required by volunteers (such as myself) to help you,