Explore the importance of asymptotic analysis in understanding algorithm efficiency, with a focus on Big O, Big Omega, and Big Theta notations. Learn to differentiate between best-case, average-case, and worst-case complexities through practical examples and visualizations.
Explore the intricacies of Big Omega and Big Theta notations in algorithm analysis, their mathematical representations, and practical applications in JavaScript.
Explore the Master Theorem for solving recurrence relations in divide and conquer algorithms, understand its applications, limitations, and learn to apply it to determine time complexities of recursive algorithms.