Heap Insert Operation Bubble Up
📖 Scenario: You are managing a priority queue using a min-heap. A min-heap is a special tree where the smallest number is always at the top. When you add a new number, you need to place it correctly so the smallest number stays on top.Imagine you have a list of tasks with different priorities. You want to add a new task and keep the list ordered by priority.
🎯 Goal: Build a min-heap insert operation that adds a new number to the heap and moves it up (bubble up) to keep the smallest number at the top.
📋 What You'll Learn
Create an array called
heap with initial values representing a min-heapCreate a variable called
newValue to hold the number to insertWrite a function called
bubbleUp that moves the last element up to keep the min-heap propertyPrint the
heap array after insertion and bubbling up💡 Why This Matters
🌍 Real World
Heaps are used in task scheduling, priority queues, and algorithms like Dijkstra's shortest path.
💼 Career
Understanding heap insertions is important for software engineers working with efficient data structures and algorithms.
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