In this video, we analyze the "under the hood" logic and memory management of List{T}, a dynamic array structure in C#.
Engineering-Focused Topics:
🔹 Why isn't the Add() operation always O(1)? (Amortized Cost Analysis)
🔹 How does the Capacity & Resize mechanism work in memory?
🔹 Memory Allocation strategies.
🔹 Building a custom List structure optimized for our StructForge library.
This series is for engineers who want to understand the performance costs of data structures, not just how to write code.
Timeline:
00:00 Introduction & Problem Definition
00:43 Add() and Amortized Cost Analysis (O(n) Case)
01:30 Swap Algorithm — O(1)
01:44 Reverse Implementation — O(n)
01:51 TrimExcess and Memory Optimization — O(n)
02:40 Shuffle (Fisher-Yates) — O(n)
03:05 Sort Algorithm — O(n log n)
03:26 Closing and Code Review
🔗 Source Code & Download:
GitHub Repo: https://github.com/FurkanKirat/Struct...
NuGet Package: https://www.nuget.org/packages/Struct...
#SystemsProgramming #CSharp #DotNet #DataStructures #MemoryManagement #SoftwareArchitecture #StructForge