mishrajiharsh219/aditya-verma-youtube-playlist-code

This repo consists of aditya verma youtube channel code for different section.

Aditya-verma-youtube-playlist-code

This repo consists of aditya verma youtube channel code for different section, I am still working this soon it will be updated fully, This repo I made for the purpose of revision Time and space complexity will be updated for all programs. If you want to explore more programes of DSA you can visit this REPO

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Dynamic Programming

S.No	Problem	Handwritten Notes	Time	Space
1	Knapsack Recursion	📘	O(2^n)	O(1)
2	Knapsack Memoization-Top-Down	📘	O(N*W)	O(N*W)
3	Knapsack Bottom-Up(DP)	📘	O(N*W)	O(N*W)
4	Subset sum(Knapsack Variation)	📘	O(N*W)	O(N*W)
5	Equal sum partition(subset sum & Knapsack Variation)	📘	O(N*W)	O(N*W)
6	Count of Subsets with given Sum(subset sum & Knapsack Variation)	📘	O(N*W)	O(N*W)
7	Minimum subset sum difference	📘	O(N*W)	O(N*W)
8	Count the number of subset with given difference	📘	O(N*W)	O(N*W)
9	Target sum(Leetcode)	📘	O(N*W)	O(N*W)
10	Unbounded Knapsack	📘	O(N*W)	O(N*W)
11	Rod cutting problem(Unbounded Knapsack)	📘	O(N*W)	O(N*W)
12	Coin change problem : maximum no of ways	📘	O(N*W)	O(N*W)
13	Coin change problem: Minimum number of coin	📘	O(N*W)	O(N*W)
14	Longest Common Subsequence Recursive	📘	O(N*W)	O(N*W)
15	Longest Common Subsequence Top down (Memoization)	📘	O(N*W)	O(N*W)
16	Longest Common Subsequence Bottom Up(DP)	📘	O(N*W)	O(N*W)
17	Longest Common Substring	📘	O(N*W)	O(N*W)
18	Print Longest Common Subsequence	📘	O(N*W)	O(N*W)
19	Shortest Common Supersequence	📘	O(N*W)	O(N*W)
20	Minimum insertion & deletion to convert a to b	📘	O(N*W)	O(N*W)
21	Longest Palindromic Subsequence	📘	O(N*W)	O(N*W)
22	Minimum number of deletions to make a string palindrome	📘	O(N*W)	O(N*W)
23	Print Shortest Common Supersequence	📘	O(N*W)	O(N*W)
24	Longest repeating subsequence	📘	O(N*W)	O(N*W)
25	Sequence pattern matching	📘	O(N*W)	O(N*W)
26	Minimum Number of insertion to make a string palindrome	📘	O(N*W)	O(N*W)
27	Matrix Chain Multiplication Recursive	📘	O(N*W)	O(N*W)
28	Matrix Chain Multiplication Top Down (Memoization)	📘	O(N*W)	O(N*W)
29	Palindrome Partitioning Recursive	📘	O(N*W)	O(N*W)
30	Palindrome Partitioning Memoization	📘	O(N*W)	O(N*W)
31	Palindrome Partitioning Memoized optimization	📘	O(N*W)	O(N*W)
32	Evaluate Expression to true Recursive	📘	O(N*W)	O(N*W)
33	Evaluate expression to true memoization using map	📘	O(N*W)	O(N*W)
34	Evaluate expression to true memoization using 3d array	📘	O(N*W)	O(N*W)
35	Scramble string recursive	📘	O(N*W)	O(N*W)
36	Scramble string Top Down	📘	O(N*W)	O(N*W)
37	Egg dropping problem recursive	📘	O(N*W)	O(N*W)
38	Egg dropping problem Top Down(memoization)	📘	O(N*W)	O(N*W)
39	Egg dropping problem memoization optimization	📘	O(N*W)	O(N*W)
40	Dynamic programming on trees Syntax	📘	O(N*W)	O(N*W)
41	Diameter of binary tree	📘	O(N*W)	O(N*W)
42	Max path sum from any node to any	📘	O(N*W)	O(N*W)
43	Max path sum from leaf to leaf	📘	O(N*W)	O(N*W)

Stack

S.No	Problem	Handwritten Notes	Time	Space
1	Nearest greater to right	📘	O(n)	O(n)
2	Nearest greater to left	📘	O(n)	O(n)
3	Nearest smaller to left	📘	O(n)	O(n)
4	Nearest Smaller to right	📘	O(n)	O(n)
5	Stock span problem	📘	O(n)	O(n)
5	Maximum Rectangular Area in a Histogram	📘	O(n)	O(n)
6	Max area rectangle in Binary matrix	📘	O(n)	O(n)

Binary Search

S.No	Problem	Handwritten Notes	Time	Space
1	Binary Search	📘	O(logn)	O(logn)
2	Binary search on reverse sorted array	📘	O(logn)	O(logn)
3	Order not known or Agonostic BS	📘	O(logn)	O(logn)

Heap

S.No	Problem	Handwritten Notes	Time	Space
1	Kth smallest element	📘	O(n log k)	O(n log k)
2	Kth largest element in an array	📘	O(n log k)	O(n log k)
3	Nearly Sorted Algorithm or sort k sorted array	📘	O(n log k)	O(n log k)

Sliding Window

S.No	Problem	Handwritten Notes	Time	Space
1	Maximum Sum Subarray of size K	📘	O(n)	O(1)
2	First negative integer in every window of size k	📘	O(n)	O(K)