Unlocking Algorithm Efficiency: A Comprehensive Guide To Time Complexity Analysis
Analyzing algorithm efficiency involves understanding its time complexity, which measures the amount of time an algorithm takes to execute in terms of its input size. Asymptotic analysis classifies algorithms based on their worst-case, best-case, or average-case behavior using notations like Big O, Big Omega, and Big Theta. Amortized analysis assesses average costs over multiple operations….