Brief introduction to Algorithm analysis

The document provides an introduction to algorithms, detailing their definition, requirements, and the importance of efficiency in algorithm design through concepts like asymptotic notation. It explains different types of asymptotic analysis such as Big O, Big Omega, and Big Theta, highlighting their pros and cons. Additionally, it covers examples of algorithm efficiency and rules for calculating complexities, particularly in the context of recursion.