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8.2 Compressed Tries | Advantage with Proof | Examples | Tries | Range Queries 

Uzair Javed Akhtar
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Tries Introduction (Previous Video) : • 8.1 Trie Data Structur...
Suffix Trees (Next Video) : • 8.3 Suffix Trees | Adv...
In this video, we will learn the following about Compressed Tries:
i) What is a Compressed Trie?
ii) How to convert a standard trie to a compressed trie?
iii) What are Range Queries?
iv) Proof of Space Complexity Advantage in compressed tries
Advanced Data Structures Playlist Link : • Advanced Data Structures
Channel Link ( Share & Subscribe ) : / @uzairjavedakhtar3718
Timestamps:
0:00 Introduction
1:42 What is a compressed trie?
2:45 Converting Standard trie to Compressed trie
9:05 Range Queries
12:55 How Compressed Tries reduce space complexity?
Tags and Hashtags:
#Tries #compressedTries #TrieDataStructure #datastructures #BloomFilters #introduction #hashing #dsa #heap #advantages #advanceddatastructures #advanceddsa #trees #timecomplexity #leftisttree #leftistheap #binaryheap #deleteoperation #probabilisticnature #probability #falsepositives #binomialcoefficient #binomial #examples #examples #trees #array #linkedlist #stack #queue #interviewPreparation #ugc #university #cse #IT #amazon #google #microsoft #adobe #meta #facebook #apple #linkedin #algorithms #quora #insertoperation #searchoperation #patternMatching #stringMatching
what is a Trie?
Why Trie?
what is tries?
what are trie?
insertion in trie
search operation in trie
probabilistic nature of bloom filter
why bloom filter?
advantages of bloom filter
data structures
complete intro of tries
basics of tries
advanced data structures
dsa
advantages
advanced dsa
time complexity
binomial trees
properties of fibonacci heaps
binomial heap
introduction
proof
example
what is a fibonacci heap
trees
binary heap
binomial tree
what is a binomial heap
fibonacci heap
what is a fibonacci heap
fibbonaci heap
what are fibonacci heaps?
why fibonacci heap?
what is heap
heap

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5 июл 2024

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Комментарии : 9   
@harshm2982
@harshm2982 Год назад
Hi, thanks for the great explanation. I came here via the suffix tree video, totally worth it! 😁
@uzairjavedakhtar3718
@uzairjavedakhtar3718 Год назад
Thanks to you for taking some time out to appreciate the content😊 Please share🖤
@g51661
@g51661 7 месяцев назад
You are a great teacher sir! Respect for you ! Your videos always help me at the right time ! May God keep you healthy and happy inside and out ! Thanks again !
@uzairjavedakhtar3718
@uzairjavedakhtar3718 7 месяцев назад
Thanks a lot for your best wishes😊 These touching words coming right out of someone's heart means a lot to me. All the best🖤
@RSBvision9570
@RSBvision9570 7 месяцев назад
Thankyou so much ❤❤
@uzairjavedakhtar3718
@uzairjavedakhtar3718 7 месяцев назад
You're most welcome 😊
@vijayshrenikraj4756
@vijayshrenikraj4756 Год назад
How would you search a term in this newly represented DS?
@kvs1567
@kvs1567 Год назад
If we have "exe" and "execute" both, then how will be "exe" identified after collapsing....
@arnavkatgeri
@arnavkatgeri 7 месяцев назад
In a compressed trie, common prefixes are typically compressed by sharing the common portion among nodes. So, in the example of “exe” and “execute,” the trie might have a node representing the common prefix “exe,” and then two branches for the specific differences (“cute” and “”) Again I’m just roughly guessing