Memory management might sound intimidating, but it's actually one of the most important concepts to understand as a JavaScript developer. Unlike languages like C where you manually allocate and free memory, JavaScript handles most memory management a...
🧭 Introduction Heaps are specialized binary trees that maintain a specific order, enabling fast access to the highest (or lowest) priority element. Heaps play a critical role in solving problems involving priority queues, scheduling, and streaming d...
Introduction: Understanding how data lives and moves in memory is essential for writing reliable and efficient software, no matter what language you use. Concepts like stack vs heap, value vs reference types, and shallow vs deep copying aren't just t...
Date: 2020-04-14 This Java tutorial explains the difference between the Java Heap and Stack memory spaces. The JVM uses these two areas for memory allocation; the heap stores objects, while the stack manages method calls and local variables. A simp...
When writing programs, developers often focus on algorithms, features, and user experience. But behind the scenes, your program needs somewhere to put its data. That’s where memory comes into play — and two critical types of memory are stack and heap...
There are two types of heaps. Min heap and max heap. Height of a heap is O(log n) Max Heap Max heap is used for heapsort. Value of i <= Value of parent Can be represented as this array : [21, 17, 15, 14, 9, 12, 13, 8, 5, 1] Root of the tree is a...
“We use operating systems every day—on our laptops, phones, and even embedded devices. But with limited CPU and memory, how does a computer efficiently manage multiple tasks at once? The OS must decide which process runs first.” Imagine you’re gaming...
Have you ever wondered why modifying an array inside a function affects the original array, but modifying a number does not? The reason lies in how JavaScript handles values and references in memory. Understanding primitives and objects—and how they ...
Introduction The Treap is a fascinating hybrid data structure that combines the properties of a Binary Search Tree (BST) and a Heap. It is designed to maintain both the binary search property of BSTs and the heap property based on priorities. This du...
Heaps are powerful tree-based data structures designed for efficient priority handling, making them indispensable in optimization problems and real-time systems. Today’s exploration focused on understanding the heap property, implementing heaps using...
