Dynamic Programming
Explore dynamic programming as an algorithmic paradigm and understand how to solve complex problems by breaking them into overlapping subproblems. Learn key characteristics like optimal substructure and apply memoization and tabulation techniques to develop efficient Java solutions for coding interviews.
What is dynamic programming?
Dynamic programming algorithms solve problems by combining results of subproblems— just like divide and conquer algorithms.
“Those who cannot remember the past are condemned to repeat it ...