- Data Structures & Algorithms
- DSA - Home
- DSA - Overview
- DSA - Environment Setup
- DSA - Algorithms Basics
- DSA - Asymptotic Analysis
- Data Structures
- DSA - Data Structure Basics
- DSA - Data Structures and Types
- DSA - Array Data Structure
- Linked Lists
- DSA - Linked List Data Structure
- DSA - Doubly Linked List Data Structure
- DSA - Circular Linked List Data Structure
- Stack & Queue
- DSA - Stack Data Structure
- DSA - Expression Parsing
- DSA - Queue Data Structure
- Searching Algorithms
- DSA - Searching Algorithms
- DSA - Linear Search Algorithm
- DSA - Binary Search Algorithm
- DSA - Interpolation Search
- DSA - Jump Search Algorithm
- DSA - Exponential Search
- DSA - Fibonacci Search
- DSA - Sublist Search
- DSA - Hash Table
- Sorting Algorithms
- DSA - Sorting Algorithms
- DSA - Bubble Sort Algorithm
- DSA - Insertion Sort Algorithm
- DSA - Selection Sort Algorithm
- DSA - Merge Sort Algorithm
- DSA - Shell Sort Algorithm
- DSA - Heap Sort
- DSA - Bucket Sort Algorithm
- DSA - Counting Sort Algorithm
- DSA - Radix Sort Algorithm
- DSA - Quick Sort Algorithm
- Graph Data Structure
- DSA - Graph Data Structure
- DSA - Depth First Traversal
- DSA - Breadth First Traversal
- DSA - Spanning Tree
- Tree Data Structure
- DSA - Tree Data Structure
- DSA - Tree Traversal
- DSA - Binary Search Tree
- DSA - AVL Tree
- DSA - Red Black Trees
- DSA - B Trees
- DSA - B+ Trees
- DSA - Splay Trees
- DSA - Tries
- DSA - Heap Data Structure
- Recursion
- DSA - Recursion Algorithms
- DSA - Tower of Hanoi Using Recursion
- DSA - Fibonacci Series Using Recursion
- Divide and Conquer
- DSA - Divide and Conquer
- DSA - Max-Min Problem
- DSA - Strassen's Matrix Multiplication
- DSA - Karatsuba Algorithm
- Greedy Algorithms
- DSA - Greedy Algorithms
- DSA - Travelling Salesman Problem (Greedy Approach)
- DSA - Prim's Minimal Spanning Tree
- DSA - Kruskal's Minimal Spanning Tree
- DSA - Dijkstra's Shortest Path Algorithm
- DSA - Map Colouring Algorithm
- DSA - Fractional Knapsack Problem
- DSA - Job Sequencing with Deadline
- DSA - Optimal Merge Pattern Algorithm
- Dynamic Programming
- DSA - Dynamic Programming
- DSA - Matrix Chain Multiplication
- DSA - Floyd Warshall Algorithm
- DSA - 0-1 Knapsack Problem
- DSA - Longest Common Subsequence Algorithm
- DSA - Travelling Salesman Problem (Dynamic Approach)
- Approximation Algorithms
- DSA - Approximation Algorithms
- DSA - Vertex Cover Algorithm
- DSA - Set Cover Problem
- DSA - Travelling Salesman Problem (Approximation Approach)
- Randomized Algorithms
- DSA - Randomized Algorithms
- DSA - Randomized Quick Sort Algorithm
- DSA - Karger’s Minimum Cut Algorithm
- DSA - Fisher-Yates Shuffle Algorithm
- DSA Useful Resources
- DSA - Questions and Answers
- DSA - Quick Guide
- DSA - Useful Resources
- DSA - Discussion
Quick Sort Program in C
Quick sort is a highly efficient sorting algorithm and is based on partitioning of array of data into smaller arrays. A large array is partitioned into two arrays one of which holds values smaller than the specified value, say pivot, based on which the partition is made and another array holds values greater than the pivot value.
Implementation in C
#include <stdio.h> #include <stdbool.h> #define MAX 7 int intArray[MAX] = {4,6,3,2,1,9,7}; void printline(int count) { int i; for(i = 0;i < count-1;i++) { printf("="); } printf("=\n"); } void display() { int i; printf("["); // navigate through all items for(i = 0;i < MAX;i++) { printf("%d ",intArray[i]); } printf("]\n"); } void swap(int num1, int num2) { int temp = intArray[num1]; intArray[num1] = intArray[num2]; intArray[num2] = temp; } int partition(int left, int right, int pivot) { int leftPointer = left -1; int rightPointer = right; while(true) { while(intArray[++leftPointer] < pivot) { //do nothing } while(rightPointer > 0 && intArray[--rightPointer] > pivot) { //do nothing } if(leftPointer >= rightPointer) { break; } else { printf(" item swapped :%d,%d\n", intArray[leftPointer],intArray[rightPointer]); swap(leftPointer,rightPointer); } } printf(" pivot swapped :%d,%d\n", intArray[leftPointer],intArray[right]); swap(leftPointer,right); printf("Updated Array: "); display(); return leftPointer; } void quickSort(int left, int right) { if(right-left <= 0) { return; } else { int pivot = intArray[right]; int partitionPoint = partition(left, right, pivot); quickSort(left,partitionPoint-1); quickSort(partitionPoint+1,right); } } int main() { printf("Input Array: "); display(); printline(50); quickSort(0,MAX-1); printf("Output Array: "); display(); printline(50); }
If we compile and run the above program, it will produce the following result −
Output
Input Array: [4 6 3 2 1 9 7 ] ================================================== pivot swapped :9,7 Updated Array: [4 6 3 2 1 7 9 ] pivot swapped :4,1 Updated Array: [1 6 3 2 4 7 9 ] item swapped :6,2 pivot swapped :6,4 Updated Array: [1 2 3 4 6 7 9 ] pivot swapped :3,3 Updated Array: [1 2 3 4 6 7 9 ] Output Array: [1 2 3 4 6 7 9 ] ==================================================
quick_sort_algorithm.htm
Advertisements