What are the components of dynamic programming?
The major components in any Dynamic Programming solution are:
- States and state variables.
- State Transition.
- Optimal Choice.
What are the three steps of dynamic programming?
What are the types of dynamic programming?
What are the advantages of dynamic programming?
What is dynamic programming?
Why is dynamic programming called dynamic programming?
What are 2 things required in order to successfully use the dynamic programming technique?
Where is dynamic programming used?
Who made dynamic programming?
Is dynamic programming used in real life?
What is the drawback of dynamic programming?
It takes a lot of memory to store the calculated result of every subproblem without ensuring if the stored value will be utilized or not. Many times, output value gets stored and never gets utilized in the next subproblems while execution.
How do you do dynamic programming?
- How to recognize a DP problem.
- Identify problem variables.
- Clearly express the recurrence relation.
- Identify the base cases.
- Decide if you want to implement it iteratively or recursively.
- Add memoization.
- Determine time complexity.
What is the time complexity of dynamic programming?
What is difference between dynamic programming and greedy?
What is state in dynamic programming?
Which algorithm uses dynamic programming approach?
Beat tracking in Music Information Retrieval. Stereo algorithms for solving the Correspondence problem used in stereo vision. The Bellman-Ford algorithm for finding the shortest distance in a graph. Some approximate solution methods for the linear search problem.