Chapter Overview
This chapter explains the fundamental concept of searching in computer science – the process of finding the location of a specific element in a collection of data. It focuses on two commonly used searching techniques: Linear Search and Binary Search. The chapter includes implementation in Python, performance comparison, and real-life applications of searching methods.
Important Keywords
- Searching: The process of finding the presence or location of an element in a dataset.
- Linear Search: Sequentially compares each element with the target until found or list ends.
- Binary Search: Repeatedly divides a sorted list in half to locate the target.
- Midpoint: The middle index used in Binary Search to divide the dataset.
- Time Complexity: A measure of how the run time of a program increases with input size.
Detailed Notes
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