Optimize A Variable Given an Initial Guess

I have an equation on which I would like to optimize a variable, C53.

guess1 = (R52.*C53)./(A.*C52) % R52,A,C52 and C53 are all vectors, where C53 is my initial guess.
estimate1 = -(sum(guess1); 
for i = 2:101
    estimate1 = estimate1(i-1) + guess1 %modify the estimate
    C53 = C53 + estimate1 %alter the initial guess
end

I implement this block of code multiple times each time using my new C53.

Each time I calculate the difference between my evolving guesses.

   abs(diff(guess2-guess1)

However these values are getting larger and hence my answer is not converging. Is there a much more simple way to do this?

Answer 1

[Walter Roberson]

I do not know what your code is doing, but I speculate that you want

guess1 = (R52.*C53)./(A.*C52) % R52,A,C52 and C53 are all vectors, where C53 is my initial guess.
estimate1 = -(sum(guess1); 
for i = 2:101
    estimate1(i) = estimate1(i-1) + guess1(i); %modify the estimate
end
C53 = C53 + estimate1 %alter the initial guess