Data Structures and Algorithms The Complete Masterclass - Linear Search

The lecture introduces the concept of search, emphasizing its importance in data retrieval. It uses a bookshelf analogy to explain search patterns and focuses on the linear search algorithm. The lecture covers the algorithm's implementation, time complexity analysis, and concludes with a brief mention of binary search as the next topic.

Why is searching an important operation in data management?

• To retrieve stored data when needed

• To encrypt data for security

• To compress data for storage

• To delete unnecessary data

What is the primary method used in linear search?

• Binary division

• Random sampling

• Sequential checking

• Hash mapping

In the worst-case scenario, what is the time complexity of linear search?

• O(N^2)

• O(N)

• O(log N)

• O(1)

What is the best-case time complexity for linear search?

• O(N)

• O(1)

• O(log N)

• O(N^2)

What is the average-case time complexity of linear search?

• O(N)

• O(log N)

• O(N^2)

• O(1)

What is the space complexity of the linear search algorithm?

• O(N)

• O(log N)

• O(N^2)

• O(1)

What does the linear search algorithm return if the target element is not found?

• Minus one or an empty value

• The length of the array

• The last index

• The first index