README
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1 motivation
2 resources
3 roadmap
4 resource itineraries

1 CN Intro to Cpp

1. Flowcharts

10. Multidimensional Arrays

2. C++, W2H

3. main, Variables and Operators

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2.1 Type Aliases
2.2 Automatic Type Deductions

1. auto

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2. decltype

4. Conditionals and while loops

1. Patterns 1

2. Patterns 2

5. For loop and bitwise ops

6. Functions

7. Arrays

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8. Searching and Sorting

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2 CN Data Structures and OOP

1. Memory and Pointers

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1. Pointers

7. Address Typecasting
8. References and Pass by Reference

2. Dynamic Memory Allocation

2. Time and Space Analysis

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1. Time

1. Order Complexity Analysis

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2. Linear Search Time Complexity
3. Insertion Sort
4. Selection Sort
5. Time complexity for recursive algorithms

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6. Fibonacci is bad

2. Space
exerciseques
zAssignments

3. Binary Search Trees

Quizzes&Exercises

Exercises

zAssignments

Assignments

3. Recursion

1. Recursion Basics

2. Recursion Practice

assignments

3. Applications of Recursion

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1. Recursion and Strings

2. Merge Sort
3. Quick Sort
4. Strings
zAssignments

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1. Subsequences of Strings

2. Printing subsequence

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after assignments

Test1

4. OOP Basics

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1. Intro and syntax

1. Getters and Setters

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2. Core member functions

5. this keyword
exercise ques

2. Special Functions

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1. Constructor idea and syntax

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1. The Copy constructor

2. Feature Delegating constructors

2. Destructor
3. Special functions details

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3. Member constraints

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1. const

2. static

4. Operator overloading

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1. Binary operator
2. Unary post

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3. Unary pre
exercises
zAssignment Polynomial class

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5. Separate Compilation
6. Approach for writing a class

5. Data Structures

1. Linear Data Structures

1. Vector aka Dynamic Array
2. Linked List

1. Linked List Basics

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1. What are data structures and why are they important
2. What is a linked list
3. Basic Operations on LL

2. Popular LL problems

Assignments

3. Stack

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1. Introduction to Stacks
2. Stack using arrays

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3. Stack using dynamic arrays

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4. Templates

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5. Stacks with templates

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6. Stack using LL

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7. Inbuilt stack STL

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4. Queue

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1. Queue Introduction

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2. Queue using Array Code

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3. Queue using Dynamic Array Code

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3. zNamespaces
4. Queue using LL

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5. Inbuilt queue STL

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zTest 2

Test2

2. Trees

1. Generic Trees

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1. Introduction to trees
2. Coding a tree

1. TreeNode class

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2. Destructor
3. IO for trees

1. Take input and print recursive

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2. Take input levelwise
3. Output level wise

3. Tree params

1. Number of nodes
2. Height of a tree Exercise
3. Depth of a Node

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4. Number of leaf nodes

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4. Tree Traversals

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2 .Binary trees

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1. Intro to Binary trees
2. Coding a Binary Tree

2. Input

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3. Printing a tree

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3. Params

4. Traversals

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5. Construction from traversal

1. Pre and In

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2. Post and In
3. Level and In

zAssignments

3. Binary Search Trees

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1. Intro to BST
2. Coding BST BST Node class

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3. Search Operation in BST
4. Common BST questions

1. Check if BST

1. Check BST 1

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2. Check BST 2
3. Check BST 3

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5. Variations of BST

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1. AVL trees

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3. Auxilary Data Structures

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1. Priority Queue and Heap

2. Hashmaps

1. map and unordered map

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2. set and unordered set
3. Iterators C++ Feature

3. Tries

3. Types of Tries

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4. Huffman Encoding

4. Graphs

1. Graphs Basics

6. Basic path operations

7. Problem get connected components

2. Graphs 2

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1. Intro to MST
2. Cycle Detection

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2. MST algorithms

1. Kruskal's Algo Complexity

5. Prim's Algorithm
6. Dijkstra's Algorithm

5. C++ STL

6. Algorithm Design

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1. Fibonacci 1

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4. NP Completeness

7. C++ Continued

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1. Macros and Global Variables

2. Inline and Default Arguments
3. const and constexpr
4. Exception Handling

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8. OOP Continued

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1. Relations between classes

Codes

DFS.cpp

Home
notebook

3 CN Competitive programming

1. CP intro and tools

1. Intro to Competitive Programming

1. What is CP
2. Why CP
3. Various Types of Errors
4. How to approach a problem in a competitive programming contest

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2. Time and Space Complexity

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Problems

3. IO Techniques

3. General tricks

4. Language Tools

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1. STL Data Structures

0. Conveniences

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1. Physical Data Structures

1. Vector

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2. List

2. ADTs

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8. Prioirty Queue

2. Functions

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3. Math functions
4. Utility functions

3. Hussain Set

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10. TreesX

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1. Tries

2. Segment Tree

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zAssignments

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3. Fenwick Tree

11. Number Theory

1. Modulo Arithmetic

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1. Modulo operation

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2. Modulo properties
3. Modulo properties continued
4. Exercise number of Binary Trees

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2. Prime generator and GCD

1. Primes

1. Find prime numbers between 1 and N
2. Sieve of Eratosthenes

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3. Complexity of Sieve of Eratosthenes

2. Euclid's Algo

1. GCD Euclid's Algorithm
2. Complexity of Euclid's GCD algorithm
3. Diophantine Equations

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4. Extended Euclidean Algorithm

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3. Multiplicative Modulo Inverse
4. Applications Of NT 1

1. Sachin and Varun

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2. Advanced GCD

3. Totient Function

4. Solving equations using NT

1. Optimized Power Function

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2. Modular exponentiation

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3. Matrix Exponentiation

4. Fermat's Little Theorem

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5. Wilson's Theorem
6. Income on the Nth day

12. Game Theory

13. Computational Geometry

14. FFT
15. HLD

2. Unconventional use of Searching And Sorting

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1. Aggressive Cows
2. Inversion Count

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3. chef

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4. Variation

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5. Murder

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6. Momos Market

type

7. Distribute Candies

distribute candies

8. Taj Mahal Entry

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3. RecursionX

1. BackTracking

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1. N Queens Problem Exercise

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2. Rat And Maze problem

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3. Sudoku Puzzle

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4. Crossword Problem

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2. BackTracking Assignment BackTracking, Binary Search And Merge Sort Problems

4. Bit Manipulation

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1. Shift Operators

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2. Remaining Bitwise Operators

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3. ith bit

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5. Adhoc Problems

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1. Equalize CodeForces

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2. Rectangular Area

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3. Light up the bulbs

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4. Circular List of students

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5. Interesting Sequences

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6. Winning Strategy

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6. Dynamic ProgrammingX

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1. Classic problems

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1. DP Basics Fibonacci Number

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2. AlphaCode

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3. Longest Increasing subsequence

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4. Largest Bitonic Subsequence

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5. Coin change and stair case

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6. Minimum Cost

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7. Magic Grid

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Assignments 1

Assignments 2

2. Practice Problems

Assignment 1

Assignment 2

3. DP & Bitmasking

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7. Greedy Method

1. Introduction to Greedy technique

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2. Minimum Absolute difference in an array
Assignment 1

Assignment 2

8. GraphsX

9. String Algorithms

1. Pattern Matching Basics
2. KMP algorithm

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3. Z algorithm for pattern matching

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notebook

5 projects
6 setup

5. Bottom of the graph #

Created Monday 27 July 2020

Bottom of the graph - All vertices v such that if a path from v to w is present, then a path from w to v is also present. It may be that w is inexistent.

Here only def is a bottom of the graph. Bottom of the graph = SCC without outgoing edge.