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Heap and stack memory are both used during program execution, each serving a distinct purpose. Stack- Stack memory is used for method execution. Every time a method is called stack memory is used- It stores local variable, method call and reference v...
(covers .NET 8 → 9 optimisations, realistic stack-vs-heap guidance, boxing costs, LOH tuning, GC-mode selection, and diagnostics) TL;DR - Think “Stack first, Heap when you must.” The thread-stack is a lightning-fast workbench cleared automatically wh...
In JavaScript, objects are one of the most powerful data structures used to represent real-world entities. But behind the scenes, there's a whole world of memory management concepts like stack, heap, garbage collection, and memory leaks. This article...
Introduction Today, I continued my journey into data structures and tackled a concept that’s both powerful and commonly used in many applications: Heaps. I took time to understand: What heaps are The difference between a max heap and a min heap Co...
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...
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...
