Simple Steps for Solving Dynamic Programming Problems

Learn a systematic approach to solving dynamic programming problems through a 21-minute video tutorial. Master five key steps: visualizing examples, identifying subproblems, establishing relationships, generalizing patterns, and implementing solutions. Apply these techniques to the longest increasing subsequence problem and optimal box stacking. Gain insights into common subproblems encountered in dynamic programming. Explore practical implementations, including error corrections for handling duplicate boxes. Access open-source resources and code repositories to enhance your understanding of the animations and concepts presented.

Introduction
Longest Increasing Subsequence Problem
Finding an Appropriate Subproblem
Finding Relationships among Subproblems
Implementation
Tracking Previous Indices
Common Subproblems
Outro