Table of Contents
- 1 What are the properties of a dynamic programming problem?
- 2 Which of the following is or are property or properties of a dynamic programming problem?
- 3 How do you identify a dynamic programming problem?
- 4 What is dynamic programming problem?
- 5 Which of the following is not a dynamic property?
- 6 Which of the following uses dynamic programming approach?
What are the properties of a dynamic programming problem?
Two main properties of a problem suggest that the given problem can be solved using Dynamic Programming. These properties are overlapping sub-problems and optimal substructure.
What are the two main approaches to dynamic programming?
The two main approaches to dynamic programming are memoization (top-down approach) and tabulation (bottom-up approach). Memoization = Recursion + Caching. Recursion is expensive both in processor time and memory space. In the tabulation approach to DP, we solve all sub-problems and store their results on a matrix.
Which of the following is or are property or properties of a dynamic programming problem?
Which of the following is/are property/properties of a dynamic programming problem? Question 1 Explanation: A problem that can be solved using dynamic programming possesses overlapping subproblems as well as optimal substructure properties.
What are the elements of a dynamic program?
Components of Dynamic programming
- Stages. The given problem can be divided into a number of subproblems which are called stages.
- States. This indicates the subproblem for which the decision has to be taken.
- Decision.
- Optimal policy.
How do you identify a dynamic programming problem?
Specifically, I will go through the following steps:
- 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 are 2 things required in order to successfully use the dynamic programming technique?
There are two key attributes that a problem must have in order for dynamic programming to be applicable: optimal substructure and overlapping sub-problems. If a problem can be solved by combining optimal solutions to non-overlapping sub-problems, the strategy is called “divide and conquer” instead.
What is dynamic programming problem?
Dynamic Programming (commonly referred to as DP) is an algorithmic technique for solving a problem by recursively breaking it down into simpler subproblems and using the fact that the optimal solution to the overall problem depends upon the optimal solution to it’s individual subproblems.
Which of the following is are the property properties of a dynamic programming?
1. Which of the following is/are property/properties of a dynamic programming problem? Explanation: A problem that can be solved using dynamic programming possesses overlapping subproblems as well as optimal substructure properties.
Which of the following is not a dynamic property?
Which among the following is not a dynamic characteristic? Explanation: Accuracy is not a dynamic characteristic. It comes under static characteristic.
What are the components characteristics and applications of dynamic programming?
The following are the steps that the dynamic programming follows:
- It breaks down the complex problem into simpler subproblems.
- It finds the optimal solution to these sub-problems.
- It stores the results of subproblems (memoization).
- It reuses them so that same sub-problem is calculated more than once.
Which of the following uses dynamic programming approach?
Which of the following standard algorithms is not Dynamic Programming based. Question 1 Explanation: Prim’s Minimum Spanning Tree is a Greedy Algorithm….Discuss it.
| A | The algorithm uses dynamic programming paradigm |
|---|---|
| C | The algorithm has a non-linear polynomial complexity and uses branch and bound paradigm |
Which of the following is not a description of dynamic programming algorithm?
Which of the following is not a description of dynamic programming algorithm? Explanation: The method of sequence alignment by dynamic programming provides an optimal (highest scoring) alignment as an output. Explanation: BLASTP is used under BLAST 2 sequence alignment.
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