12. Insertion Sort
The chapter focuses on the insertion sort algorithm, providing a detailed examination of its mechanics and implementation. It describes how elements are inserted into a sorted segment of the array and discusses the performance characteristics of the algorithm in various scenarios. Furthermore, it contrasts insertion sort with selection sort and highlights its efficiency, particularly in the case of nearly sorted data.
Enroll to start learning
You've not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Insertion sort involves taking elements from an unsorted segment and inserting them into their correct positions in a sorted segment.
- The algorithm has a time complexity of O(n^2) for average and worst-case scenarios.
- Insertion sort can perform well on nearly sorted data, behaving closer to linear time in those conditions.
Key Concepts
- -- Insertion Sort
- A sorting algorithm that builds a sorted sequence by repeatedly inserting the next unsorted element into its correct position within the already sorted sequence.
- -- Time Complexity
- A computational complexity that describes the amount of time it takes to run an algorithm as a function of the length of the input.
- -- Recursive Algorithm
- An algorithm that solves a problem by reducing it to smaller instances of the same problem.
- -- Iterative Implementation
- A method of performing an operation using a loop construct, rather than through a recursive function call.
Additional Learning Materials
Supplementary resources to enhance your learning experience.