Markov Chains, Computer Science, Programming, Probability, Problem Solving.
current_possibilities.append(first_probability) for j in range(1, self.state_number): remaining_probability = 1 - sum(current_possibilities) if j == self.state_number - 1: # Ensure the last probability is positive and completes the sum to 1 current_possibilities.append(max(0, 1 -