Top 10 Questions on Sorting Algorithms and Divide and Conquer Approach Top 10 Questions on Sorting Algorithms and Divide and Conquer Approach Understanding basic sorting algorithms and the divide and conquer approach is crucial for every computer science student. Below are the most frequently asked questions with answers from Module 1: Introduction to Algorithms . 1. What is Selection Sort and how does it work? Selection Sort is a comparison-based algorithm that divides the array into a sorted and unsorted part. It repeatedly selects the minimum element from the unsorted section and moves it to the beginning. Time Complexity: O(n²) Stable: No In-place: Yes 2. What are the steps involved in Insertion Sort? Insertion Sort builds the sorted array one element at a time by inserting each new element into its correct position among the previously sorted elements. Best Case: O(n) Worst Case: O(n²) Stable: Ye...
1. What is an Operating System? An Operating System (OS) is system software that acts as a bridge between users and computer hardware. It manages hardware resources and provides services to application software. An OS handles tasks like memory management, process scheduling, and device control. It ensures that programs and users can run smoothly without interfering with each other. Examples include Windows, Linux, macOS, and Android. The OS also provides a user interface, either graphical (GUI) or command-line (CLI). Without an OS, a computer would be unusable. It organizes files, maintains security, and manages system performance. In short, the OS is the heart of any computing device. 2. What are the main functions of an Operating System? The primary functions of an Operating System are process management, memory management, file system management, and device management. It ensures efficient execution of processes by scheduling CPU time. Memory management keeps track of ea...
Question 1: Can you provide an overview of the history of recommendation systems and their evolution over time? Answer: Recommendation systems have evolved significantly since their inception in the early 1990s. Initially, simple systems such as collaborative filtering and content-based filtering emerged, followed by more sophisticated techniques like matrix factorization and deep learning. The rise of e-commerce and streaming platforms in the late 1990s and early 2000s led to increased research and development in recommendation algorithms. Today, recommendation systems are ubiquitous across various domains, from e-commerce and entertainment to social media and content platforms, and continue to evolve with advancements in machine learning and artificial intelligence. Question 2: What are the main functions of a recommender system, and how do they contribute to enhancing user experience and engagement? Answer: The main functions of a recommender syste...
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