| Название | : | Ep6 - General steps to solve any recursion problem | Reverse an array using recursion | DSA series |
| Продолжительность | : | 9.50 |
| Дата публикации | : | |
| Просмотров | : | 20 rb |
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very helpful Comment from : raman |
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sir can you make a special and more detailed video on Time and Space complexity please Comment from : Toyash Patil |
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Time & Space Complexity: O(n) [n/2 nodes] Comment from : Khalid Ansari |
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helpful video Comment from : Sahil sharma |
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@lead coding by fraz , can you also share the recursion tree diagram ? ,unable to get space and time complexity Comment from : Rahul Jena |
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In line 3rd we haven't written anything after the return So what it will return Someone please tell Comment from : Anushka Siddhu |
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9:08 please make video on tree representation
brˌ of head recursion Comment from : Abcd Education Channel |
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Thanks bhi you are doing great work and contributing in the society Keep uploadingbrOne more thing I want to say that number of questions you are sloving in the lectures including your DSA sheet of 250 questions are enough to grab a good placement It's the thing about which I am so much confusedbrOtherwise I am understanding your lectures perfectly Comment from : Sachal Khalid |
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Just a suggestion - If this should have been the second or third video,it would have been more helpful 😅 Comment from : Tushar Sinha |
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Best lecture and thank you sir❤️ Comment from : Tanmay Pal |
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i cant understand why swap function worked after recursive statement Comment from : Soleiman |
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Brother the java code in your GitHub is wrong Comment from : pratik firodiya |
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arey bhai java ke code to complete hi nahi hai, or isko samjhne mai bht problem hori hai Comment from : Akshay Pawar |
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can someone explaine me what will be the recursive tree for this solution??? Comment from : Akash Bag |
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superb Comment from : ABHISHEK KUMAR |
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Complete 6th lecture ❤️🙏brOf Recursion :) Comment from : Akib_Zaved |
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Such a simple explanation! Keep going ! Comment from : Hardik Ajmani |
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Thankyou bhaiya for this session Comment from : Ratna Sanjay |
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while coding in python why we are defining two function Comment from : AMAR NATH |
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in approach 2 what is happening we are recursively calling the reverser function and its returning at the end so how swap is happening ,i understood approach 1 its fine but not getting approach 2 Comment from : BT19ECE111 _manichandT |
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please link leetcode ki b provide kar diya kariye bhaiya kuki leetcode pe b submission hote rahege sath sath Comment from : Aman Dixit |
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That the Video all we want 4 Steps to Solve any Recursion Problem Thank you Bhaiya for doing this alll 😍😍😍 Comment from : yash malhotra |
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day 3 Comment from : Raghu |
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𝖕𝖗𝖔𝖒𝖔𝖘𝖒 Comment from : Jameson |
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9th june - done Comment from : Dewansh Anand |
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sir your java code is showing error Comment from : zuber |
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completed👍 Comment from : Akhileshwar Pandit |
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champion lectures Comment from : Priyanshu singh |
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Day 6 completed Comment from : Boom Smash |
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sir please update the java solution it is giving error in code studio Comment from : VZOD |
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watched till end 👍 Comment from : Sai B |
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You have provided little wrong code java for updating values in ArrayList need to use Set(index,Element) method Comment from : SURESH MALVIYA |
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Time Complexity and Space Complexity is O(n/2) O(n) Comment from : Adit Shah |
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great series, i am waiting for more topics, will follow Comment from : Akshat Trivedi |
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time complexity will be 0(n/2)----->0(n)brspace complexity wil be 0(n/2)------->0(n)brwe are doing n/2 swaps for any array Comment from : Satya narayana Reddy |
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Ep6 DONE Comment from : Ayush Kumar |
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big thank bhai for this 🙏 Comment from : Surakshit Kapoor |
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Time and space both O(n) in worst casebrbrIgnore constant 1/2 both br T C & S C in big oh case Comment from : Rick programming world |
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#day6 - done Comment from : Yash Bahuguna |
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Somehow my mind is managing to grasps these recursion problems 😁 Comment from : Mayur Powar |
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Time Complexity is O(n) and Space Complexity is O(n) as well Comment from : Amarnath Barpanda |
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theek hai,last video ka program digest karne me jo time lagaya,woh iss question me bhi kaam aa gaya Comment from : Sahil |
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Do you know how many days will needed to complete DSA? Comment from : sammed kage |
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easy explanation understandable thank you Comment from : Anuja Dhotre |
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nice explanation keep up the good work Comment from : Aveer Mukherjee |
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Avg Space nd time complex will both be O(n) Comment from : Snehil Kumar |
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Good Video Comment from : Rajan Khunt |
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Time complexity - O(n) and space complexity - O(n) because no of nodes and height of the recursive tree will be Ceiling of n/2 in worst case and 1 in best case so in best case both will be O(1) Comment from : PUNIT YADAV |
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You are just amazing Comment from : BHARATHKUMAR GADI |
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Thank you bhaiya for brief explanation Comment from : Anurag Kaushik |
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much needed series before placementsbrseason Comment from : Rajneesh Patel |
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Never have I seen a more concise explanation of how recursion works Thank you for putting in so much efforts to explain these concepts in-depth and in a simple and easy to understand manner Comment from : Meh |
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TC - O(n/2) traversing only half of the arraybrbrSC - O(n/2) stack space occupied Comment from : Zeros & Ones |
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The given java code gives error in reverse array questions bhaiya Comment from : Abhay Agarwal |
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Bro good way of putting up final steps to do recursive problems which will be very helpful to us in future for solving recursive problems ❤❤❤❤ Comment from : IT_08 Aman Agarwal |
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Amazing 😍 lecture!!? Comment from : Engineer_Rajat |
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Present #frazbhaii (EP6) Comment from : Devi Kumavath |
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Awesome 🔥🔥🔥 Comment from : abhishek |
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#Recursion #end Comment from : Zeeshan Ansari |
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Done Understood Day 6❤✅ Comment from : Abhishek |
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Lecture 6 done ✅brThanks a lot bhaiya for this series Comment from : Oqant0 |
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Ep 6: Done But I am getting an Internal Server Error from the problem link provided The problem isn't opening Comment from : Budhaditya Chatterjee |
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Recursion OP Comment from : Prantik Mukherjee |
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Your recursion series itself look like a recursive problem 🤣brI think i can solve but i have to use dp because all are related with previous lecture which i have already coveredbrSo guys watch it from beginning or you are giving recursion to skipping the base condition Be safe add base condition and start watching from beginning😅brAnd Lots of love bhaiya ❤️❤️ Comment from : Md Sufyan Khan |
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Working in a service based company, got time to spare so re-watching this valuable video!! TC O(n) SC O(n) ♥️😂 #missionamazon Comment from : Piyush Srivastava |
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Hi fraz, This is Ashfaq I am looking for Amazon preperation Can you help me Please Comment from : Ashfaq Ashu |
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Done ✅ Comment from : Prakhar Agarwal |
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Can anyone pls explain again the working of reversing array using recursion with the help of recursion tree how it's returning back Comment from : ISMIT SINGH |
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The best part what I am liking here apart from teaching ( which is no doubt awesome ) is the length of the videos it's short and crisp ie easy for us to digest unlike other videos of longs hourspl bro maintain this you may frequency of video but don't keep videos length in hours Comment from : Anusha Singh |
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Sir, you suggest leetcode for practice and everyone say that GFG is beginner friendly for dsa and leetcode code is for interview preparation As a beginner what I do? Comment from : bakrab24 bakrab24 |
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wonderful lecture now recursion is looking easy Comment from : Debojoty Rudra 2036 BEC4 |
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😊 thanks Comment from : Manik Goel |
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how do we know, on which type of problems we might need another helper function and in which we dont Comment from : Sudipta Pradhan |
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I'm learning dsa from your channel at the first dat when you've started I've a request vaiya which is, please tell us something or show us some tips, how we note down those topics in our hand notes or you've made a note when you started learning It'll help me and others too Hope you'll see my comment and reply I'm learning from Bangladesh and lots of respect and love to you Comment from : Swadesh Saha |
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done Comment from : Abu Talha |
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Time and space complexity both are O(n) Comment from : Vinayak Beni |
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sir , bahut mazzzaa aaraha hai sara quation karliya or dry run bhe kar liya hai brthanks sir ji 💖💖💖💖💖💖💖💖👌👌👌👌👌👌👌👌👌brbrthis quation space and time comaplaxitybrspace ------->> O(n) ;brtime -------->> O(n) ; Comment from : Deepak Prajapat |
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Achcha laga bhaiya, keep on doing the hardwork We all are also doing it Comment from : Sounak Saha |
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I have watched all the episode of this series Comment from : Best Explainer |
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outstanding explanation !! Comment from : yash rajput |
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