Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

sauravjaiswalsj/Competitive-Programming

Repository files navigation

cp

Competitive-Programming Preparation

Ongoing Project

This program developed to learn Algorithms for using in Competitive Prorgamming, but can be used for:

  • Competitive Programming
  • Practicing for Interviews
  • Improving Algorithmic Thinking
  • Practicing for College Class
  • FUN

The course requires:

  • To know at least one programming language well. (You have to be able to use the language efficiently.)
  • You have to be familiarize with some of the basic Data Structures (Array, Stack, Queue, etc.) (Although if you don't know some of them, you may learn it when you come accross.)
PS: I am saying "Any programming language" but in this course mostly we used Java and C++ some C. But still you can follow the curriculum without any knowledge of these languages

Resources

In this course we will use some tools for the questions. As I mentioned above all of these questions already exists, we just highlight them so that you can reach better. Here are the websites/tools that we use through this course:

I gave these tools name because you may not be able to submit your solution or display the question for some websites. It would be better if you just sign up. Although it is not neccesary...

Topics

Here are the topics we included in this curriculum.

DS

  • Stacks
  • Queues
  • Priority queue
  • Hashmap
  • Linked List
  • Trees
  • Heaps
  • Advanced Trees
    • Tries
    • Segment trees
    • Fenwick tree or Binary indexed trees
    • RMQ
  • SQRT Decomposition
  • Disjoint Data Structure
  • C++ STL (optional)

Algo

  • Number Theory

    • Prime Numbers (Sieve of Eratosthenes)
    • GCD and LCM Euclid’s Algorithm
    • Modular Exponentiation
    • Long arithmetic (Multi, Add)
    • Efficient Prime Factorization
  • Combinatorics(Probability-Combinations-Permutations-Matrix..)

  • Computational geometry

    • Primitive Operations
      • Intuition
      • Polygon Inside, Outside
      • Implementing CCW
      • Immutable Point ADT
    • Convex Hull
    • Closest pair problem
    • Line intersection
  • Sorting

    • QuickSort
    • Counting Sort
    • Merge Sort
  • Searching

    • Binary Search
    • Ternary Search
  • Graph Theory

    • Depth First Search (DFS)
    • Breadth First Search (BFS)
    • Dijkstra’s Shortest Path
    • Minimum Spanning Tree
    • Ford Bellman
    • Floyd Warshall
    • LCA (Lowest Common Ancestor)
    • Max Flow / Min Cut
  • Dynamic programming

    • Knapsack
    • Matrix chain multiplication
    • Coin Change
    • Kadane
    • Longest increasing Subsequence (with RMQ)
  • Strings

    • Z algorithm
    • Suffix Trees/Arrays
    • Knuth-Morris-Pratt Algorithm (KMP)
    • Rabin-Karp Algorithm
    • Hash
  • Bit Manipulation

  • Game theory

    • Nim game
    • Grundy numbers
    • Sprague-Grundy theorem
  • Optional Advanced Algorithms

    • AVL Trees
    • Graph Coloring
    • Mo's Algorithm
    • Palindromic Tree
    • Heavy Light Decomposition
    • Dynamic Programming by Profile
    • Rod Cutting
    • Topological Sorting
    • DP with Bitmask - Dynamic Programming
    • Diobhantine Equation - Math
    • Flood Fill - Graph

Here is our Curriculum

Week Topics Optional Topics
1.Week
  • Prime Numbers (Sieve of Eratosthenes)
  • Efficient Prime Factorization
  • Modular Exponentiation
2.Week
  • GCD and LCM Euclid’s Algorithm
  • Long arithmetic (Multi, Sum, Div, Sub)
  • C++ STL:Vector
  • C++ STL:Pairs
  • C++ STL:Iterators
3.Week
  • QuickSort
  • Counting Sort
  • C++ STL:String
  • C++ STL:Set
  • C++ STL:Map
4.Week
  • Merge Sort
  • Binary Search
  • Ternary Search
5.Week
  • Queue (DS)
  • Stack (DS)
  • Breadth First Search
  • Depth First Search
  • C++ STL: Queue
  • C++ STL: Stack
6.Week
  • Linked List (DS)
  • Dijkstra’s Shortest Path
  • Minimum Spanning Tree (MST)
  • Floyd Warshall
7.Week
  • Knapsack
  • Coin Change
  • Kadane
8.Week Questions from previous topics
9.Week
  • Trees (DS)
  • Segment Trees (DS)
  • Range Minimum Query (RMQ)
  • Lowest Common Ancestor (LCA)
  • Topological Sorting
10.Week
  • Ford Bellman
  • Max Flow / Min Cut
  • Longest increasing Subsequence (with RMQ)
  • Heavy Light Decomposition
11.Week
  • Primitive Operations
    • Intuition
    • Polygon Inside, Outside
    • Implementing CCW
    • Immutable Point ADT
  • Convex Hull
  • Closest pair problem
  • Line intersection
12.Week
  • Tries (DS)
  • Suffix Trees/Arrays (DS)
  • Knuth-Morris-Pratt Algorithm (KMP)
  • Rabin-Karp Algorithm
13.Week
  • Heaps (DS)
  • Priority queue (DS)
  • Combinatorics
14.Week
  • Z algorithm
  • Hash
  • Disjoint Data Structure (DS)
15.Week
  • Matrix chain multiplication
  • SQRT Decomposition (DS)
  • Mo's Algorithm
  • Rod Cutting
16.Week Questions from previous topics
17.Week
  • Nim game
  • Grundy numbers
18.Week
  • Sprague-Grundy theorem
  • Fenwick tree or Binary indexed trees (DS)
19.Week
  • Bit Manipulation
  • Palindromic Tree
  • AVL Trees
20.Week
  • Heavy Light Decomposition
  • Dynamic Programming by Profile
  • Graph Coloring

Footsteps

This repository contains examples of various algorithms written on different programming languages...

Important Algorithms

Maths C CPP Java Python
Euclidean GCD
Fibonacci series
Pallindrome number
Perfect number
Searching and Sorting C CPP Java Python
QuickSort
Merge Sort
Insertion Sort
Counting Sort
Radix Sort
Bubble Sort
Heap Sort
Linear Search
Binary Search
Tree traversal C CPP Java Python
Pre-Order Traversal
Post-Order Traversal
In-Order Traversal
Binary Search Tree
Height of the Tree
Depth of the Tree
AVL Tree
Spanning Tree
Segment Tree
Fenwick Tree
Trie
Graph Traversal C CPP Java Python
Breadth First Search
Depth First Search
Topological Sort
Kruskals Algorithms
Prim's Algorithms
Belmon Ford Algorithms
Floyd-Warshall Algorithm
Dijkstra's Algorithm

Curated resources

Coding Practices

Video Lectures

Interview Books

Guides

Courses

Sites

Videos

System Design

Computer Science News

New to programming; follow these resources:

* Codecademy 
* Freecodecamp
* Progate
* Cs50 by Harvard university 

Few learning websites:

* udacity
* Coursera - recommended courses - Algorithmic toolbox, java programming
* Edx - CS50 , Mit introduction to programming with python
* Datacamp

Things to learn before you wanna grab a good companies:

  • Git
  • Postman
  • Learn an Object oriented programming language - Java, c++, python etc
  • Learn DS, Algo
  • Learn Database and dbms concepts
  • Networking
  • Operating systems
  • Web Programming - CS50 web programming course by Harvard university
  • Learn basics of unix

Github, projects and few use full links:

Contributing

  1. Fork it!
  2. Clone the forked repository to local system.
  3. Create your feature branch: git checkout -b my-new-feature
  4. Commit your changes: git commit -am 'Add some feature'. Go through Commit Messages guidelines
  5. Push to the branch: git push origin my-new-feature
  6. Submit a pull request 😄

See Contributor.md ilename] |

Notes

Only project maintainers should merge a PR. Other members can add their reviews to a PR but the merging should be done by only a project maintainer.

Authors

Releases

No releases published

Packages

No packages published

AltStyle によって変換されたページ (->オリジナル) /