Brief Introduction
Excel in the Dynamic Programming and ace your next coding interview.Description
In this course, you will learn about the famous optimisation technique of Dynamic Programming. You will learn the basics of writing a Dynamic Programming Solution and how to find time complexity of these solutions. We will consider a number of examples to help you understand better. These examples are divided into three categories : 1-Dimensional,2-Dimensional and Bitmasking Problems. For each of the category we will have 2 different problems.
1-Dimensional Problems
- Nth Fibonacci Term
- Longest Increasing Subsequence
2-Dimensional Problems
- Longest Common Subsequence
- Longest Palindromic Subsequence
Bitmasking Problems
- Travelling Salesman Problem
- Assignment Problem
After this course, all that would be left on your part is practice. So let's join me in this course.
Requirements
- Requirements
- Knowledge of recursion.
- Prior experience with high level programming languages like C/C++/Java.
- Knowledge of bitmasking and bitwise operation is required for learning DP with bitmasking.
Amar Malik
3.8 Raiting
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