Trying to generate a value each loop, and then add that value to multiple variables in an array

Hello,

Say I have an array with 2 variables, LPCopen and HPCopen.

I would like to create a loop that each generation will add the same new figure 'cyclesnew' to both 'LPCopen' and 'HPCopen'. I would like to store all generations in a matrix for reference elsewhere.

The end result, would be something like;

[LPCopen+cyclesnew(1), HPCopen+cyclesnew(1)]

[LPCopen+cyclesnew(2), HPCopen+cyclesnew(2)]

.....

and so on

Can anyone advise on the most efficient way to do this? It will need to be expanded to adding the cyclesnew(i) value to about 6 variable in an array. Bad code below for reference. Thanks!

for  i = 1:100
    cyclesnew(i) = randi(20000); 
    stack(i) = [LPCopen+cyclesnew(i),HPCopen+cyclesnew(i)];
    population = [population ; stack(i)];
    i= i+1;
   disp(population)
   format long g 
end

Answer 1

[Jan]

Your code contains several problems:

for  i = 1:100
    i= i+1;
end

You do not have to increase the loop counter manually inside a for loop. This is done by for already.

Defining format long g inside the loop is a waste of time, but no error. For a proper programming style, do this once before the loop.

stack(i) = [LPCopen+cyclesnew(i),HPCopen+cyclesnew(i)];

There is a scalar on the left side and a [1 x 2] vector on the right side. This does not work.

format long g 
for  i = 1:100
    cyclesnew(i) = randi(20000); 
    population = [population ; LPCopen+cyclesnew(i),HPCopen+cyclesnew(i)];
    disp(population)
end

This displays a [1 x 2] vector in the first iteration, a [2 x 2] matrix in the second one and so on. Finally you write [sum(1:100) x 2] values to the command window: 2020 numbers. This is not useful.

And easier approach does not need loops at all:

format long g 
cyclesnew  = randi(20000, 100, 1);
population = [LPCopen, HPCopen] + cyclesnew;

[Stephen]

Hi Jan,

Thanks for the answer, I knew it was gonna be simpler but I didnt know how simple haha

If you dont mind answering a follow up, the end goal here is to have each generation of the population accessible for use, the code overall will function as a (kind of) genetic algorithm. Accessing each row the population and mixing/mutating values between them should be possible.

Would that be possible with the output of your answer?

Thanks again