What does NP-completeness signify in computational theory?a.The hardest problems in NPb.Problems that are easy to solvec.Problems that are neither easy nor hard to solved.Problems that are easy to verify

A problem is in P if:a.It is NP-Hardb.It is as hard as the hardest problems in NPc.Its solutions can be verified in polynomial timed.It can be solved in polynomial time

What is the difference between P and NP classes in computational complexity theory?Select one:a. NP problems cannot be solved in polynomial time, while P problems cannot be verified in polynomial time.b. P and NP are the same class of problems, both solvable and verifiable in polynomial time.c. P represents the most complex problems in computer science, while NP represents the least complex.d. P represents problems that can be solved quickly (in polynomial time), while NP represents problems for which a solution can be verified quickly.

Which of the following is not an example of a problem in NP?a.Sorting a list of numbersb.Graph Coloring Problemc.Boolean Satisfiability Problemd.Traveling Salesman Problem

What is the major component required for measuring the component of problem solving?Choices:- Completeness Optimality Time complexity Completeness,Optimality,Time complexity

Is Travelling salesman problem NP-hard or NP-Complete? Justify your answer.