How can one determine tight asymptotic bounds for a given algorithm's time complexity?

To determine tight asymptotic bounds for an algorithm's time complexity, one can analyze the algorithm's performance in the best and worst-case scenariOS. This involves calculating the upper and lower bounds of the algorithm's running time as the input size approaches infinity. By comparing these bounds, one can determine the tightest possible growth rate of the algorithm's time complexity.