C Program to solve Knapsack problem

C Program to solve Knapsack problem. Knapsack problem is also called as rucksack problem. In Knapsack problem, given a set items with values and weights and a limited weight bag . We have to find the optimum solution so that, in minimum cost(value) fill the bag with the maximum weight. Read more about C Programming …

C Program to Implement Heap Sort — Algorithm, Tree Visualization, and Complexity

Heap Sort is a comparison-based sorting algorithm that uses a binary heap data structure. Its standout property: it is guaranteed O(n log n) in all cases — best, average, and worst — while using only O(1) extra memory. No Quick Sort worst-case surprises, no Merge Sort extra array. Key Concept — The Max-Heap A max-heap …

C Program to Implement Quick Sort — With Explanation and Complexity

Quick Sort is one of the fastest and most widely used sorting algorithms. It uses a divide-and-conquer strategy: pick a pivot element, partition the array so everything smaller than the pivot is on its left and everything larger is on its right, then recursively sort each side. The pivot ends up in its final sorted …

C Program to Implement the multiple priority queue.

A priority queue is a data structure where each element is served according to its priority rather than just the order it arrived. A multiple priority queue implements this with several separate queues — one per priority level — so that higher-priority items are always removed before lower-priority ones. This C program builds a simple …

C program to implement Towers of Hanoi and Binary Search

C Recursion: C Program to implement Towers of Hanoi and Binary Search using the Recursion method. Recursive functions solves the complexity of the problem by calling the function again and again itself. Using recursive methods we can save execution time and memory. In this program we have two recursive functions for Binary search and the …

Binary Search Tree in C – Insert, Search, Delete, and Traversals

A binary search tree (BST) in C is a binary tree where every node satisfies one invariant: all values in the left subtree are less than the node, and all values in the right subtree are greater. This ordering means search, insert, and delete all run in O(h) time — where h is the tree …