AVL Tree Deletion Working with Diagram & Explanation (1 Solved Problem) | AVL trees - DSA

AVL tree is a self-balancing Binary Search Tree (BST) where the difference between heights of left and right subtrees cannot be more than one for all nodes. This difference is called the Balance Factor.
In this tutorial we will solve 1 example based on AVL tree Deletion -
1) Deleting exisiting AVL tree nodes and balancing the tree if balance factor is imbalanced
We will perform the rotations in both these cases whenever imbalance is detected.
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00:00 BST deletion use cases
06:24 Deletion in AVL example
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#avltree #binarysearchtree #datastructures #binarytree #dsa

[@adityatiwari6232]

Best teacher ever experienced. Not exaggerating! Thanks brother 🖤

[@SimpleSnippets]

Wow, thanks! It would mean a lot if you could please share our channel and videos with your friends too ✌

[@adarshpandey1870]

Seriously considering your efforts " thank you " will not justify your hardwork behind the scene . Waiting for this playlist to be covered soon . You are doing incredible job here 🙏

[@inhtructam7183]

Your work is just unbelievable. Thank you very much.

[@maheriyajatinbharatbhai3538]

thank you Tanmay sir for this amazing series !

[@uthpakhi]

You are life saver 🙌❤️. Keep it up bro.

[@lakshmiamulyaramineni2952]

Such a clean explanation 😀

[@sagarpatil2474]

Thank you so much brother... I watch your complete playlist and its really help me to remind it forever.

[@SimpleSnippets]

You are most welcome. It would mean a lot if you could please share our channel and videos with your friends too ✌

[@sagarpatil2474]

@@SimpleSnippets already done.. my friend also watching this playlist..

[@ManishSharma-fi2vr]

Amazing tutorial!!

[@abdulrahmankhan6523]

You're amazing thankuh so much sir ❤

[@UnKnown-id7ih]

Plz continue this series

[@hadeedfatema3639]

thanks to GOD that you created these avl videos in dec

[@SimpleSnippets]

Glad you like them!

[@sunilkumarsingh2342]

"Thank you so much, bro! You explained everything awesomely!"💯💯

[@zachpan4143]

Thank you so much!!!!❤❤❤

[@monikasaini1188]

Very nice explanation 👍👍👍👍👍👍👍

[@vaishuganesanvlogs]

Thanks for teaching better than our paid staffs

[@AadeshingaleOfficial-zl5fd]

Nice Sir 😊

[@SohaAhmed-tx6sz]

Wonderful

[@ChandraSekhar-mz8xy]

I'm comfortable with 1-based height , is that okay sir?

[@vikassharma2094]

sir please add videos related to graphs it will be very helpful

[@MistrYouTuber]

have u made any code video of AVL tree..if yes plz link

[@harsh9558]

Thx dude!

[@lifestyleofosa9361]

Best!

[@hamzashahshah3953]

love you from Pakistan
That same guy :-)

[@fazilabano1309]

Thank u sir👐

[@SimpleSnippets]

Thank you so much buddy. It would mean a lot if you could please share our channel and videos with your friends too ✌

[@shaharrefaelshoshany9442]

Best ever

[@LyricVista]

hi sir, can you please make videos on graphs and also Expression tree? Good experience overall.

[@SimpleSnippets]

Will cover them soon!

[@bhanuteja9408]

will there be a code uploaded in the future for these ..? just asking...

[@SimpleSnippets]

Yes very soon

[@saadjafar3786]

can we get the code for this and maybe hashing later?

[@SimpleSnippets]

Soon

[@learner848]

Heyy plzz do about Hashing related topics

[@SimpleSnippets]

Soon!

[@prashantsinghh]

🙌❤

[@mahmoudsaleem2988]

i think the whole idea is :
we calculate tha balance factor of the unbalanced node as ( left - right ) then if it positive 2 or bigger we go to the left of the node and if this left child has left child we do right rotation and if it has only right child we do left right rotation and vise versa for the negative balance factor
am i right ??
thank you so much 🥰🥰🥰🥰🥰

[@SimpleSnippets]

Correct! You got it very well!

[@mahmoudsaleem2988]

@@SimpleSnippets thanks , bro 😍😍

[@Rahman-bp8jz]

[@kingmaker9082]

If you know bst deletion watch from 6:43

[@Rahman-bp8jz]

🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰

[@benmyths]

OokYaA

[@tusharbhardwaj4201]

I dont know why there is one dislike in this video...😡😡😡😡

[@SimpleSnippets]

Some random hater maybe!