Lowest Common Ancestor of a binary tree | Leetcode

This video explains a very frequently asked programming interview problem which is to find the lowest common ancestor in the given binary tree.I have first explained the problem statement followed by concepts of lowest common ancestor using examples and then finally showed 2 different ways to solve the problem. I have shown the first solution by finding the last common node in the root to node path. The second solution is based on simple recursion.
CODE LINK is present below as usual. If you find any difficulty or have any query then do COMMENT below. PLEASE help our channel by SUBSCRIBING and LIKE our video if you found it helpful...CYA :)
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CODE LINK: gist.github.co...

[@jlecampana]

You're an excellent teacher, I've learned so much from your videos, you explain recursion beautifully, Thank you!

[@amratef3245]

I don't comment very often on videos, but yours really helped me. Thank you so much

[@techdose4u]

Welcome :)

[@praveengautam4689]

you explaied node tree recursion like a class 8th maths problem. Bro you're a genius.

[@embarrassed_dodo]

Awesome explanation, I had trouble understanding this earlier but now i get it

[@techdose4u]

Great!

[@sirichandanayadav5249]

Happy teacher's day Sir...

[@DaudZaidi]

Nice one. Please do Leetcode 621 - Task Scheduler.

[@techdose4u]

Sure 👍🏼

[@jlecampana]

@TECH DOSE, Yes! Please do 621! Thank you!

[@ritikmishra5210]

Man, you're awesome as always!

[@techdose4u]

Thanks 😊

[@charkhude]

Thanks

[@techdose4u]

Welcome :)

[@annawilson3824]

TECH DOSE, do you plan to add playlists according to the Leetcode's difficulty level? That would increase views for you and help the audience to watch the whole list of problems that they target. Thanks.

[@techdose4u]

Yes I will 👍🏼

[@annawilson3824]

@@techdose4u thanks, looking forward to it!

[@techdose4u]

👌🏼

[@albindavis3538]

great explanation theyw ay you explain the question by all possibe senario is superb

[@chrisliewjy]

Great stuff! 👍🏻

[@techdose4u]

Thanks ☺️

[@anupam6045]

Best expalnation ever

[@mangoman2023]

Very nice explanation. Thank you

[@nurshuvo3854]

Great explanation.

[@techdose4u]

Thanks :)

[@chetantailor3620]

Nicely explained !!

[@techdose4u]

Thanks

[@areebashaikh22]

Thank you!

[@ui.ashish]

amazing content

[@techdose4u]

Thanks 😊

[@harpercfc_]

THIS IS AWESOME.

[@mrinalmadhav8119]

Very much excited

[@techdose4u]

😀

[@sharonwang592]

Very smart！ Thanks

[@devbhattacharya153]

Thanks a lot sir :)

[@nitinsaxena1857]

Excellent.

[@sunny-14689]

Can you also discuss on side how to solve if links to parent is present (i.e each node contains link to parent) ?

[@techdose4u]

Ok

[@santoshrathod9868]

Thanks brother

[@preetambal7443]

Awesome!!

[@techdose4u]

Thanks

[@sharetosriram123sdsd]

Your final commentary is a lot confusing and doesn’t explain why you return left or right when the other is null. It is because when right is null you found both modes on left so the left node down is LCA and vice-versa

[@techdose4u]

Take some examples and it will be clear for sure

[@biswajitmahato4413]

What is the editor name?

[@JangBahadur3028]

Wait is over. 😊

[@techdose4u]

😀

[@shrutibansal5261]

👏👏👏

[@maruthkamath9304]

~12.30 is wrong.LCA could have been 5 also . So the conclusion is wrong. I guess needs an edit.

[@andrepinto7895]

This makes unnecessary work. Imagine that both nodes are on the left, your code still explores the entire right subtree, when it could already stop the search there. You can keep state locally in the class or use an helper method with an additional settable field to avoid this. On the other hand, the fact that you don't continue the search down the subtrees when root matches one of the nodes, reduces the search space, so depending on the case, it might end up being better or worse.

[@calvio2835]

such an awful explanation