Part 3: Algorithm & Algorithm Analysis | Time and Space Complexity + Asymptotic Notations | DSA
Автор: Ishika Agrawal
Загружено: 2026-01-05
Просмотров: 42
In this video, we will clearly understand Algorithm, Algorithm Analysis, Time Complexity, Space Complexity and Asymptotic Notations in a simple Hinglish + exam-ready format.
Ye video specially un students ke liye hai jo:
DSA concepts strong karna chahte hain
University / BCA / BTech / MCA exams ke liye prepare kar rahe hain
Time complexity ko ratta nahi, logic ke saath samajhna chahte hain
📌 Topics Covered in This Video:
What is Algorithm (Definition + Examples)
Characteristics of a Good Algorithm
What is Algorithm Analysis
Time Complexity:
Best Case
Average Case
Worst Case
Space Complexity (with examples)
Asymptotic Notations:
Big O Notation (O)
Omega Notation (Ω)
Theta Notation (Θ)
Exam-oriented explanations & short tricks
📄 Exam-Ready Notes PDF:
✔️ Short definitions
✔️ Diagrams & tables
✔️ University-oriented answers
👉 PDF link is given in the pinned comment
📚 DSA Full Playlist (Step-by-Step):
Part 1: Introduction to Data Structures
Part 2: Classification of Data Structures
Part 3: Basic Operations on Data Structures
Part 4: Algorithm, Time & Space Complexity (This Video)
👉 Watch the complete playlist to become exam-ready in DSA.
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