Introducing Dynamic Programming With Fibonacci Numbers
Explore the fundamentals of dynamic programming by examining the Fibonacci sequence. Understand how overlapping subproblems and optimal substructure make it efficient to solve problems using memoization and tabulation techniques.
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What is Dynamic Programming?
Dynamic programming algorithms solve problems by combining results of subproblems, just like in the divide and conquer algorithms.
“Those who cannot remember the past are condemned to repeat it” – Dynamic Programming
Characteristics
Most problems that can be solved with dynamic programming can also be solved with a divide and conquer approach. The difference between the two is that the dynamic programming approach ...