Asymptotic NotationBig O NotationExplore Big O notation, its significance, and how it helps in analyzing algorithm efficiency.Big O Notation Big O notation is a mathematical representation used to describe the performance or complexity of an algorithm. It provides an upper bound on the time complexity, helping developers understand the worst-case scenario for an algorithm's performance. Importance of Big O Notation Performance Analysis: Helps in evaluating the efficiency of algorithms. Comparison: Allows for the comparison of different algorithms based on their time complexity. Common Big O Complexities O(1) - Constant TimeO(log n) - Logarithmic TimeO(n) - Linear TimeO(n log n) - Linearithmic TimeO(n²) - Quadratic Time Understanding Big O notation is crucial for optimizing algorithms and improving software performance.How is this guide?GoodBadAsymptotic NotationLearn about asymptotic notation and its role in analyzing the efficiency of algorithms.Omega NotationLearn about Omega notation and its role in analyzing the best-case performance of algorithms.