9. Identify which of these problems are NP-complete and which can be exactly solved using a polynomial time algorithm
(a) Finding the vertex cover in a line graph
(b) Finding the maximum clique in a tree
(c) Finding the independent set in complete graph
(d) Finding the Hamiltonian cycle in a graph that has exactly one cycle
Answer;
Option (a).Finding the vertex cover in a line graph
Finding the vertex cover in a line graph NP-complete and which can be exactly solved using a polynomial time algorithm
Here,
Vertex cover in a line graph, maximum clique in a tree , independent set in complete graph and the Hamiltonian cycle in a graph that has exactly one cycle are NP-complete problems.
An algorithm is supposed to be solvable in polynomial time uncertainty the number of steps required to complete the algorithm for a given input is used for some non negative integer.
Polynomial-time algorithms are supposed to be fast and efficient. A polynomial is a combination of linear terms that look similar Constant * x^k.
If we needed a polynomial time algorithm we can solve all problems in NP in polynomial time.
9. Identify which of these problems are NP-complete and which can be exactly solved using a...
Note: For the following problems, you can assume that INDEPENDENT SET, VERTEX COVER, 3-SAT, HAMILTONIAN PATH, and GRAPH COLORING are NP-complete. You, of course, may look up the defini- tions of the above problems online. 5. The LONGEST PATH problem asks, given an undirected graph G (V, E), and a positive integer k , does G contain a simple path (a path visiting no vertex more than once) with k or more edges? Prove that LONGEST PATH is NP-complete. Note:...
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Definition: Given a Graph \(\mathrm{G}=(\mathrm{V}, \mathrm{E})\), define the complement graph of \(\mathrm{G}, \overline{\boldsymbol{G}}\), to be \(\bar{G}=(\mathrm{V}, E)\) where \(E\) is the complement set of edges. That is \((\mathrm{v}, \mathrm{w})\) is in \(E\) if and only if \((\mathrm{v}, \mathrm{w}) \notin \mathrm{E}\) Theorem: Given \(\mathrm{G}\), the complement graph of \(\mathrm{G}, \bar{G}\) can be constructed in polynomial time. Proof: To construct \(G\), construct a copy of \(\mathrm{V}\) (linear time) and then construct \(E\) by a) constructing all possible edges of between vertices in...
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Show that the following three problems are polynomial reducible to each other Determine, for a given graph G = <V, E> and a positive integer m ≤ |V |, whether G contains a clique of size m or more. (A clique of size k in a graph is its complete subgraph of k vertices.) Determine, for a given graph G = <V, E> and a positive integer m ≤ |V |, whether there is a vertex cover of size m...