What is dynamic programming in C++?

What is dynamic programming in C++?

Dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems. In C++, it often involves using arrays or hash tables to store the results of subproblems to avoid redundant calculations.

Can you give me an example of dynamic programming in C++?

Sure! A classic example is the Fibonacci sequence. Instead of using a simple recursive function, you can use an array to store previously calculated Fibonacci numbers.

How does memoization work in this context?

Memoization is an optimization technique where you store the results of expensive function calls and reuse them when the same inputs occur again. In C++, you can implement it using arrays or maps.

What are some common problems that can be solved using dynamic programming?

Common problems include the Knapsack problem, Longest Common Subsequence, and Coin Change problem. Each of these can be efficiently solved using dynamic programming techniques.