Practice
Resources
Contests
Online IDE
New
Free Mock
Scaler
Practice
Improve your coding skills with our resources
Contests
Compete in popular contests with top coders
Scaler
Explore Offerings by SCALER

Welcome to Interviewbit, help us create the best experience for you!

Currently, You are a:

Few details about your education

College/University *
Enter the name of your college
Branch *
Year of completion *

Few details about your education

College/University *
Enter the name of your college
Branch *
Year of completion *

Few details about your career...

Current Company *
Enter company name
Experience *

You're all set!

Begin your success journey!

Sign Up using
Full name *
Email *
Password *

By creating an account, I acknowledge that I have read and agree to InterviewBit’s Terms and Privacy Policy .

Welcome back!

Log In using
Email *
Password *

Dynamic Programming

Go to Problems

Level 1

Jump to Level 2

Level 2

Jump to Level 3

Level 3

Jump to Level 4

Level 4

Jump to Level 5

Level 5

Jump to Level 6

Level 6

Jump to Level 7

Level 7

Jump to Level 8

Level 8

Be a Code Ninja!
  • Dynamic Programming (commonly referred to as DP) is an algorithmic technique for solving a problem by recursively breaking it down into simpler subproblems and using the fact that the optimal solution to the overall problem depends upon the optimal solution to it’s individual subproblems.
  • The technique was developed by Richard Bellman in the 1950s.
  • DP algorithm solves each subproblem just once and then remembers its answer, thereby avoiding re-computation of the answer for similar subproblem every time.
  • It is the most powerful design technique for solving optimization related problems.
  • It also gives us a life lesson - Make life less complex. There is no such thing as big problem in life. Even if it appears big, it can be solved by breaking into smaller problems and then solving each optimally. Learn More.

Serious about Learning Programming ?

Learn this and a lot more with Scaler Academy's industry vetted curriculum which covers Data Structures & Algorithms in depth.

Dynamic Programming Problems

Greedy or dp
Problem Score Companies Time Status
Tushar's Birthday Bombs 200
78:13
Jump Game Array 225 41:16
Min Jumps Array 300 71:44
Tree dp
Problem Score Companies Time Status
Max edge queries! 200 56:34
Max Sum Path in Binary Tree 400 55:07
Suffix / prefix dp
Derived dp
Problem Score Companies Time Status
Chain of Pairs 200 42:09
Max Sum Without Adjacent Elements 225 58:10
Merge elements 300 57:43
Knapsack
Problem Score Companies Time Status
Flip Array 200
78:42
Tushar's Birthday Party 200 70:50
0-1 Knapsack 200 47:57
Equal Average Partition 350 71:49
Adhoc
Problem Score Companies Time Status
Best Time to Buy and Sell Stocks II 225 40:18
Dp optimized backtrack
Problem Score Companies Time Status
Word Break II 350
IBM
67:29
Multiply dp
Problem Score Companies Time Status
Unique Binary Search Trees II 400 36:06
Count Permutations of BST 400
62:18
Breaking words
Problem Score Companies Time Status
Palindrome Partitioning II 400 62:02
Word Break 400
IBM
67:00

Additional Practice

Problem Score Companies Time Status
Potions 200 56:48
Dice Throw 400 49:19
Double Increasing Series 200 45:07
Dice Rolls 300 27:36
Palindromic Substrings 200
LTI
25:37
Free Mock Assessment
Help us know you better for the best experience
Current Employer *
Enter company name
College you graduated from *
Enter university name
Phone Number *
OTP will be sent to this number for verification
+91
+91
Change Number
Edit
Resend OTP
By clicking on "Continue" I agree to be contacted by Scaler in the future.
Already have an account? Log in