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Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence
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Artificial Intelligence (Complete Playlist) - Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence

Unlock AI Mastery: Explore Algorithms & Techniques with Gate Smashers!

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What you'll learn

Understand the principles of various search algorithms in artificial intelligence.
Apply heuristic techniques to solve complex problems effectively.
Analyze and implement logic-based reasoning and knowledge representation.
Explore the concepts and applications of probabilistic inference and uncertainty reasoning.

This course includes

  • 10 hours of video
  • Certificate of completion
  • Access on mobile and TV

Artificial Intelligence (Complete Playlist) Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence

Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence Transcript and Lesson Notes

In this video, we explore the time and space complexity of two fundamental graph traversal algorithms: Breadth-First Search (BFS) and Depth-First Search (DFS). We explain how each algorithm performs in terms of time and

Quick Summary

In this video, we explore the time and space complexity of two fundamental graph traversal algorithms: Breadth-First Search (BFS) and Depth-First Search (DFS). We explain how each algorithm performs in terms of time and

Key Takeaways

  • Review the core idea: In this video, we explore the time and space complexity of two fundamental graph traversal algorithms: Breadth-First Search (BFS) and Depth-First Search (DFS). We explain how each algorithm performs in terms of time and
  • Understand how time complexity fits into Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence.
  • Understand how time and space complexity fits into Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence.
  • Understand how time complexity of bfs fits into Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence.
  • Understand how breadth first search fits into Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence.

Key Concepts

Full Transcript

In this video, we explore the time and space complexity of two fundamental graph traversal algorithms: Breadth-First Search (BFS) and Depth-First Search (DFS). We explain how each algorithm performs in terms of time and memory usage, helping you understand their efficiency in different scenarios. 🔹 Gate Smashers Shorts: Watch quick concepts & short videos here: https://www.youtube.com/@GateSmashersShorts 🔹 Subscribe for more shorts and motivational content: https://www.youtube.com/@varunainashots Subject-wise playlist Links: -------------------------------------------------------------------------------------------------------------------------------------- ►Design and Analysis of algorithms (DAA): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHcmS4i14bI0VrMbZTUvlTa ►Software Engineering (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiEed7SKZBnC6ypFDWYLRvB2 ►Database Management System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiFAN6I8CuViBuCdJgiOkT2Y ►Cloud Computing: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHRHVUtR-O52MsrdUSrzuy4 ► Theory of Computation https://www.youtube.com/playlist?list=PLxCzCOWd7aiFM9Lj5G9G_76adtyb4ef7i ►Artificial Intelligence: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHGhOHV-nwb0HR5US5GFKFI ►Computer Networks (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiGFBD2-2joCpWOLUrDLvVV_ ►Operating System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiGz9donHRrE9I3Mwn6XdP8p ►Structured Query Language (SQL): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHqU4HKL7-SITyuSIcD93id ►Discrete Mathematics: https://www.youtube.com/playlist?list=PLxCzCOWd7aiH2wwES9vPWsEL6ipTaUSl3 ►Compiler Design: https://www.youtube.com/playlist?list=PLxCzCOWd7aiEKtKSIHYusizkESC42diyc ►Number System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiFOet6KEEqDff1aXEGLdUzn ►Programming in C : https://www.youtube.com/playlist?list=PLxCzCOWd7aiGmiGl_DOuRMJYG8tOVuapB ►Data Structure: https://www.youtube.com/playlist?list=PLxCzCOWd7aiEwaANNt3OqJPVIxwp2ebiT ►Computer Architecture : https://www.youtube.com/playlist?list=PLxCzCOWd7aiHMonh3G6QNKq53C6oNXGrX ►Graph Theory (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiG0M5FqjyoqB20Edk0tyzVt ►Digital Logic: https://www.youtube.com/playlist?list=PLxCzCOWd7aiGmXg4NoX6R31AsC5LeCPHe --------------------------------------------------------------------------------------------------------------------------------------- Our social media Links: ► Subscribe to us on YouTube: https://www.youtube.com/gatesmashers ►Subscribe to our new channel: https://www.youtube.com/@varunainashots ► Like our page on Facebook: https://www.facebook.com/gatesmashers ► Follow us on Instagram: https://www.instagram.com/gate.smashers ► Follow us on Instagram: https://www.instagram.com/varunainashots ► Follow us on Telegram: https://t.me/gatesmashersofficial ► Follow us on Threads: https://www.threads.net/@gate.smashers -------------------------------------------------------------------------------------------------------------------------------------- ►For Any Query, Suggestion or notes contribution: Email us at: gatesmashers2018@gmail.com

Lesson FAQs

What is Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence about?

In this video, we explore the time and space complexity of two fundamental graph traversal algorithms: Breadth-First Search (BFS) and Depth-First Search (DFS). We explain how each algorithm performs in terms of time and

What key concepts are covered in this lesson?

The lesson covers time complexity, time and space complexity, time complexity of bfs, breadth first search, bfs vs dfs.

What should I learn before Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence?

Review the previous lessons in Artificial Intelligence (Complete Playlist), then use the transcript and key concepts on this page to fill any gaps.

How can I practice after this lesson?

Practice by applying the main concepts: time complexity, time and space complexity, time complexity of bfs, breadth first search.

Does this lesson include a transcript?

Yes. The full transcript is visible on this page in indexable HTML sections.

Is this lesson free?

Yes. CourseHive lessons and courses are available to learn online for free.

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