This series of videos are focused on explaining dynamic programming by illustrating the application of DP with bitmasking through the use of selected problems from platforms like Codeforces, Codechef, SPOJ, CSES and Atcoder.
After going through this series, you should find yourself confident in solving problems which require the use of dp and bitmasks and also implementing them in a reasonable amount of time.
I will also live code and submit the solutions to the problem on the coding platform from where the problem comes.
Some Basic elements of Dynamic Programming
Some general ideas and my thoughts about DP to help you get started:
Part 1: https://youtu.be/24hk2qW_BCU
1. What is Divide and Conquer?
2. What is Dynamic Programming?
3. Types of DP problems.
Part 2: https://youtu.be/yfgKw6BUZUk
1. What is a DP-state?
2. Characterizing a DP-state.
3. What is a recurrence?
4. Top Down v/s Bottom Up.
Part 3: https://youtu.be/X-3HklSPx6k
1. Directed Acyclic Graph(DAG) Representation of DP solution
2. Visualizing Top-Down and Bottom-Up.
3. Evaluation order for bottom-up codes.
4. Analyzing the space and time complexity for a DP solution(derivation).
About the series
Short video where I talk about the playlist: https://youtu.be/6sEFap7hIl4
What is Bitmasking
I talk about what is bitmasking before we actually start solving problems that use dp with bitmasking.
Illustration: Solving the Job Assignment Problem
Illustration: Travelling Salesman Problem
Another great problem to illustrate bitmask dp.
I will discuss the following:
1. What is the TSP?
2. Brute force solution.
3. Intuition towards an efficient solution.
4. Define a DP state, write a recurrence.
5. How do I implement this? ANS: bitmasking!
6. Analyzing time and space complexities.
Codeforces Problem: Div2E
Codechef long Challenge: Medium
CSES: Counting Tilings
If people find this helpful then I will try and add more problems to this list :)