create for loop for simple predation having global variables in matlab

Assuming you have two global variables prey and predator representing the population sizes of prey and predator respectively, and a predation rate variable predation_rate, you can create a for loop for simple predation as follows:

main.m
% Initialize population sizes and parameters
global prey predator predation_rate
prey = 100; % initial prey population
predator = 20; % initial predator population
predation_rate = 0.02; % predation rate

% Run simulation for 100 time steps
num_steps = 100;
for i = 1:num_steps
    % Calculate new population sizes
    delta_prey = -predation_rate*prey*predator;
    delta_predator = predation_rate*prey*predator;
    prey = prey + delta_prey;
    predator = predator + delta_predator;
    
    % Ensure population sizes remain non-negative
    prey = max(prey, 0);
    predator = max(predator, 0);
    
    % Print results for this time step
    fprintf('Step %d: Prey = %.2f, Predator = %.2f\n', i, prey, predator);
end
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In this code, the for loop runs over the specified number of time steps and calculates the new population sizes based on the predation rate and the current population sizes of prey and predator. The max function is used to ensure that the population sizes remain non-negative. Finally, the results for each time step are printed using the fprintf function.

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