The given statement is TRUE.
We have, a problem is NP Complete if it satisfies below 2 conditions:
1. A problem is a NP( a problem can be solved by non deterministic turing machine in polynomial time)
2. For all other problems in NP, all these problems can be polynomially reducable to given problem.
Thank you.
Claim: It is known that any NP-complete problem will require exponential time (that is, a polynomial...
If a deterministic polynomial algorithm is found for any NP-complete problem, then it must be the case that P + NP. O True False
3. (3 pts) Two well-known NP-complete problems are 3-SAT and TSP, the traveling salesman problem. The 2-SAT problem is a SAT variant in which each clause contains at most two literals. 2-SAT is known to have a polynomial-time algorithm. Is each of the following statements true or false? Justify your answer. a. 3-SAT sp TSP. b. If P NP, then 3-SAT Sp 2-SAT. C. If P NP, then no NP-complete problem can be solved in polynomial time.
2. Describe why finding a polynomial-time algorithm for a NP-complete problem would answer the question if P = NP. What would the answer be? (7-10 sentences minimum)
4. a) Define the concept of NP-Completeness B) Show that there is a polynomial time algorithm that finds a longest path in a directed graph, under the condition that A is NP-complete and A has a polynomial time algorithm.
True or False: If an NP-complete problem can be solved in cubic time, then all NP complete problems can be solved in cubic time. Cubic = O(n^3). Explain why true or false. I think the answer is False but I'm not exactly sure why that is so if someone could explain.
algorithm TRUE OR FALSE TRUE OR FALSE Optimal substructure applies to alloptimization problems. TRUE OR FALSE For the same problem, there might be different greedy algorithms each optimizes a different measure on its way to a solutions. TRUE OR FALSE Computing the nth Fibonacci number using dynamic programming with bottom-upiterations takes O(n) while it takes O(n2) to compute it using the top-down approach. TRUE OR FALSE Every computational problem on input size n can be...
4. a) Define the concept of NP-completeness b) If A is NP-complete, and A has a polynomial time algorithm, then a polynomial time algorithm to find a longest path in a directed graph.
4. a) Define the concept of NP-completeness b) If A is NP-complete, and A has a polynomial time algorithm, then a polynomial time algorithm to find a longest path in a directed graph. Answer:
4. a) Define the concept of NP-completeness b) If A is NP-complete, and A has a polynomial time algorithm, then show that there is a polynomial time algorithm to find a longest path in a directed graph.
Why P = NP is considered an open problem? P- Polynomial time solving NP- Non deterministic Polynomial time solving