Asymptotic NotationTheta NotationExplore Theta notation and its significance in analyzing algorithm efficiency.Theta Notation Theta notation describes a tight bound on the growth rate of an algorithm's running time, providing both upper and lower bounds. It is used to express the average-case performance of an algorithm. Importance of Theta Notation Performance Analysis: Helps in understanding the average-case time complexity of an algorithm. Comparison: Allows for the comparison of algorithms based on their average-case performance. Common Theta Complexities Θ(1): Constant time complexity. Θ(n): Linear time complexity. Understanding Theta notation is crucial for a complete analysis of algorithm efficiency.How is this guide?GoodBadOmega NotationLearn about Omega notation and its role in analyzing the best-case performance of algorithms.