Prove that the following problem is NP-complete: given an undirected graph G = (V, E) and an integer k, return a clique of size k as well as an independent set of size k, provided both exist.
The answer to the present question is yes if G has both of those
subsets.As we all know that both the issues i.e. clique and
independent set are NP-Complete. Also, we all know that the
verification of this problem, is in NP.
Performing a discount on the above problem is that the problem
(which contains both independent sets and cliques) to either a drag
consisting entirely of cliques or independent sets. Since we don't
skills this reduction are often performed without the lose of any
information which will be needed to scale back the reduction back
to its original form. Or we will also say that,
Since we all know that the clique and independent-set problems are
NP-Complete, we will use that as a base for proving the matter .
Let's call our problem CC.
Assume we've been given a graph G which features a clique C of size
k. Reduce the graph into a graph G' (read: G prime) which features
a clique C' of size k' and independent-set I of size k' by
attaching k vertices to every vertex in C. The reduction is
occuring in polynomial time because the vertices addition takes
O(n*k) time (n vertices within the graph and k vertices attached to
every node).(Note that C=C' and k=k'.)Now Assume a graph G' which
features a clique C' of size k' and independent-set I of size k'
which is decided to be true. The reduction to the clique problem is
trivial because we don't need to improvise the graph to seek out
only a clique.
An easier way of reduction from Clique to CC is to require your
input graph for Clique and add the k isolated vertices thereto .
(If k is present within the input in binary, adding k extra
vertices is an exponential amount of labor relative to the length
of the input. So first make sure k is at the most the amount of
vertices within the graph: if k is bigger , produce any small "no"
instance, e.g., the graph on one vertex.)
Prove that the following problem is NP-complete: given an undirected graph G = (V, E) and...
4. Approximating Clique. The Maximum Clique problem is to compute a clique (i.e., a complete subgraph) of maximum size in a given undirected graph G. Let G = (V,E) be an undirected graph. For any integer k ≥ 1, define G(k) to be the undirected graph (V (k), E(k)), where V (k) is the set of all ordered k-tuples of vertices from V , and E(k) is defined so that (v1,v2,...,vk) is adjacent to (w1,w2,...,wk) if and only if, for...
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:...
Let G = (V;E) be an undirected and unweighted graph. Let S be a subset of the vertices. The graph induced on S, denoted G[S] is a graph that has vertex set S and an edge between two vertices u, v that is an element of S provided that {u,v} is an edge of G. A subset K of V is called a killer set of G if the deletion of K kills all the edges of G, that is...
(a) Given a graph G = (V, E) and a number k (1 ≤ k ≤ n), the CLIQUE problem asks us whether there is a set of k vertices in G that are all connected to one another. That is, each vertex in the ”clique” is connected to the other k − 1 vertices in the clique; this set of vertices is referred to as a ”k-clique.” Show that this problem is in class NP (verifiable in polynomial time)...
1) Consider the clique problem: given a graph G (V, E) and a positive integer k, determine whether the graph contains a clique of size k, i.e., a set of k vertices S of V such that each pair of vertices of S are neighbours to each other. Design an exhaustive-search algorithm for this problem. Compute also the time complexity of your algorithm.
Show that the following problem is NP-Complete (Hint: reduce from 3-SAT or Vertex Cover). Given an undirected graph G with positive integer distances on the edges, and two integers f and d, is there a way to select f vertices on G on which to locate firehouses, so that no vertex of G is at distance more than d from a firehouse?
Prove this is NP Complete, or it is in P. This problem is a variant of UNDIRECTED HAMILTON PATH in bounded-degree graphs. The language in question is the set of all triples (G, s, t) for which G is an undirected graph with maximum degree at most 2 containing a Hamilton path from node s to node t.
NP-completeness. We are given an undirected graph where each edge has a positive weight. Given (k, alpha), the problem asks whether there is a subgraph with k nodes such that the total weight of the edges in the subgraph is at least alpha. Prove this problem is NP-Complete.
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...
An orientation of an undirected graph G = (V, E) is an assignment of a direction to each edge e ∈ E. An acyclic orientation is the assignment of a direction to every edge such that the resulting directed graph contains no cycles. Either prove that there exist undirected graphs with no acyclic orientation, or provide an efficient O(V +E) algorithm for producing an acyclic orientation for an undirected graph G and explain why it produces a valid acyclic orientation.